Wang Xinyue, You Liandong, Li Ming, Li Ming
Mothers, particularly human mothers, exhibit exceptional sensitivity to the unique acoustic features, emotional valence, and survival cues embedded in infant cries and laughter. This article evaluates various cognitive experimental paradigms developed using infant cry materials and investigates mate…
Zhai Shuyi, Zhai Shuyi, Shi Xingcheng, Xingcheng Shi, Liang Ying, Liang Ying, Xia Dingling, Xia Dingling, He Jie, He Jie, He Jie, He Jie
Against the backdrop of building a fertility-friendly society, family well-being and scientific parenting have attracted increasing attention. Based on 5-day intensive longitudinal data from 370 mothers of early school-age children in China, this study employs dynamic structural equation modeling to…
Zhang Zijian, Chen Jiwen, Peng Shun, Jiahui Wu, Wang Siqian, Chen Jiwen
This study adopts a sociocultural perspective on learning engagement, integrated with human capital theory, and employs two sub-studies anchored in three categories of social factors to analyze the longitudinal evolution of learning engagement among students in mainland China, examining the influenc…
Feng Tingyong, Wang Xueke, Deng Fang, Feng Tingyong
Effective coping and management of negative emotions is an essential competency for children with Autism Spectrum Disorder (ASD) to adapt to society; however, previous research has predominantly focused on emotion recognition and emotion understanding, with less attention devoted to the emotion regu…
Chen Lijun, Jin Yuexin, Zeng Hanhan, Jiang Xiaoliu, Jiang Xiaoliu
Daily social verbal communication contains both semantic and prosodic cues. Do children with autism spectrum disorder rely on prosody or semantics to judge a speaker's emotion in social interactions? Investigating this question facilitates understanding of the disorder's etiology and provides direct…
Peng Wang, Yan Ping, Zhou Yaping, Xiang Yanhui, Xiang Yanhui
Does marriage alter the developmental trajectory of individuals' life satisfaction? This is both a major issue concerning national harmony and stability, and an important question regarding individual quality of life. Based on hedonic adaptation theory and the buffer model, this study utilizes six-w…
Liu Zhifang, Feng Ximei, \documentclass[twocolumn]{article}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage{graphicx}
\usepackage{CJK}
\usepackage[numbers]{natbib}
\title{Research on Image Classification Methods Based on Deep Learning}
\author{Zhang San \\ School of Computer Science and Technology \\ Peking University}
\date{\today}
\begin{document}
\begin{CJK}{UTF8}{gbsn}
\maketitle
\begin{abstract}
This paper studies image classification methods based on deep learning. It first introduces the fundamental principles and commonly used models of deep learning, and then focuses on analyzing the application of convolutional neural networks in image classification tasks. Experimental results demonstrate that the proposed method achieves 92.5\% accuracy on the CIFAR-10 dataset, outperforming traditional machine learning methods.
\end{abstract}
\keywords{deep learning, image classification, convolutional neural network}
\section{Introduction}
With the rapid development of artificial intelligence technology, machine learning has become an important research direction in the field of computer science. In particular, breakthroughs in deep learning technology in recent years have led to significant progress in tasks such as image classification, speech recognition, and natural language processing. This paper will focus on exploring the application of deep learning in image classification.
\section{Related Work}
Traditional image classification methods mainly rely on hand-crafted feature extractors, such as SIFT\cite{lowe2004distinctive} and HOG\cite{dalal2005histograms}. These methods require domain expert knowledge and have limited generalization capabilities. In contrast, deep learning methods can automatically learn hierarchical feature representations, significantly improving classification performance.
\section{Deep Learning Methods}
\subsection{Convolutional Neural Networks}
Convolutional Neural Networks (CNN) are a type of deep learning model specifically designed for processing data with grid-like structures. They extract image features through a combination of convolutional layers, pooling layers, and fully connected layers. Convolutional layers perform convolution operations on the input using learnable filters, while pooling layers are used to reduce feature dimensions.
\subsection{Residual Networks}
Residual Networks (ResNet) solve the vanishing gradient problem in training deep networks by introducing skip connections. This structure enables the network to learn residual mappings, thereby allowing the training of deeper network architectures. ResNet achieved breakthrough results in the ImageNet Large Scale Visual Recognition Challenge.
\section{Experimental Setup}
We evaluated the proposed method on the CIFAR-10 dataset. This dataset contains 60,000 32×32 color images divided into 10 categories. We used 50,000 images for training and 10,000 images for testing. The experiments were implemented using the PyTorch framework and trained on an NVIDIA Tesla V100 GPU.
\section{Experimental Results}
As shown in Table\ref{tab:results}, our method achieved 92.5\% accuracy on the test set. Figure\ref{fig:confusion_matrix} shows the confusion matrix, which demonstrates that the model performs relatively balanced across all categories. Compared with the baseline method, the accuracy improved by 5.2 percentage points.
\begin{table}[h]
\centering
\caption{Performance Comparison of Different Methods}
\label{tab:results}
\begin{tabular}{lc}
\hline
Method & Accuracy(\%) \\
\hline
Traditional machine learning method & 87.3 \\
Deep learning method & 92.5 \\
\hline
\end{tabular}
\end{table}
\section{Conclusion}
This paper proposes an image classification method based on deep learning and validates its effectiveness on the CIFAR-10 dataset. Experimental results demonstrate that deep learning methods have significant advantages in image classification tasks. Future work will explore more efficient model architectures and training strategies.
\bibliographystyle{plain}
\bibliography{references}
\end{CJK}
\end{document}, Liu Zhifang
This study utilized the fixation-related potential technique to examine predictive processing in Chinese reading and the cognitive mechanisms underlying its influence on lexical recognition effects. Analyses of eye movement and electroencephalographic (EEG) data in the pre-target and target word reg…
Nian Jingqing, Tan Jiang, Zhang Di, Zhang Yu, Luo Yu, Luo Yu
Threat stimuli possess strong priority in attentional processing, yet whether they facilitate or interfere with the formation of learned distractor inhibition remains unclear. This study examined the influence of threat stimuli on the formation of location-probability-based learned distractor inhibi…
Dai Jiaojian, Sun Mingze, Wang Dongfang, Xinrui Mao, Guo Chunyan, Mao Xinrui, Guo Chunyan
Humans often need to make predictions based on current situations to guide subsequent behavior. However, researchers currently debate vigorously regarding whether predictable or unpredictable items yield better memory performance. In this study (Experiment 1: item recognition; Experiment 2: associat…
Chen Lanshuang, Wang Zhen, Guan Jian, Guan Jian
Amidst increasingly prominent global intergroup conflicts, psychological time framework represents a novel pathway to facilitate intergroup helping behavior, capable of effectively mitigating social conflicts and promoting resource redistribution. Compared to conventional single time points, constru…
Gǔlìmǐrè·Yīshākè, Du Xiayu, Wang Binyu, Jia Jiaojiao, Li Jiao, Dolores, Tieyu Duan, Xiong Qian, Ren Zhihong, Ren Zhihong
[Objective] To explore assessment methods for perceived social support among adolescents based on Weibo text and analyze its demographic differential characteristics. [Methods] Python was employed to crawl Weibo texts (approximately 300,000 posts) from adolescents aged 12–18 nationwide, construct a …
Jialin Cai, Chen Caiqi, Chen Caiqi
Cognitive Disengagement Syndrome (CDS), also known as Sluggish Cognitive Tempo (SCT), constitutes a cluster of persistent behavioral patterns or symptoms characterized by attentional disengagement, sluggish information processing, and hypoactivity resulting from neurodevelopmental deficits. This syn…
Shanshan You, Qi Yue, Chen Junting, Luo Lei, Zhang Kan, Qi Yue
With the development of smart home robot technology, security risks have emerged as a new challenge for human-robot trust. This study proposes and validates a new dimension of trust in smart home robots—security trust. To this end, Study 1 developed a security trust scale for smart home robots and v…
Liu Kaihang, Park Chung-sook, Tian Ying, Wang Liyan, Wang Hongbiao
Motor contagion, as a core mechanism of dynamic coupling between perceptual and motor systems in human social interaction, has long been a subject of debate regarding its neural mechanisms and evolutionary significance. In social interactions, the unconscious influence on an individual's own actions…
Wu Jie, Che Zixuan, Wu Jie
The cognitive characteristics and neural mechanisms of multi-channel category learning are of critical importance for elucidating the principles of cross-modal knowledge representation. This study combines event-related potential (ERP) technology with the drift-diffusion model to systematically inve…
Chen Haide, Zhang Heng, Wang Jia, Gao Lingfeng, Gao Lingfeng
Interpretive bias toward relevant cues represents a crucial component of cognitive bias in addicted individuals; however, the characteristics and underlying mechanisms of smokers' interpretive bias toward smoking-related cues have yet to be elucidated. The present study examined, through three exper…
Chen Leni, Huang Xu, Xu Hanhua, Leni Chen
This study challenges the societal stereotype that "childbearing contradicts women's work motivation" and proposes the Parental Identity Gain Theory. It posits that parental identity can serve as a significant source of work motivation for working mothers. This gain operates through two mechanisms: …
Wu Yue, Lü Wei, Lu Wei
Childhood maltreatment is closely associated with adolescent self-injurious behavior; however, research examining the underlying mechanisms from the "gene × environment - endophenotype - behavioral phenotype" theoretical perspective remains limited. Based on the polygenic risk score research paradig…
Zhou Linshu, Zhang Yuqing, Cai Danchao, Zhou Linshu, Cai Danchao
Music training can enhance individuals' sensitivity to temporal and non-temporal structures, but the joint influence of these structures in working memory remains unclear. This study investigates how pitch and rhythmic structures are processed in auditory working memory and the role of music trainin…
Zhou Qianyi, Cai Yaqi, Zhang Ya, Zhang Ya
With the technological advancements of Large Language Models (LLMs) in natural language generation and affective computing, their capacity for empathy simulation in domains such as psychological counseling, doctor-patient communication, and customer service has attracted considerable attention. The …
Zheng Yu, Shen Yi, Wu Yueyan, Wu Yueyan
Generative AI agents, powered by generative artificial intelligence (also known as generative AI) technology, possess remarkable emergent intelligence capabilities that can help humans break through mental sets, becoming new members of corporate new product development teams—generative AI teammates.…
Li Weiwei, Ou, Minhua, Kang Zhiqiang, Wen Yuting, Lin Xueqing, Li Weiwei
In prosocial behavior, helpers typically face a trade-off between fairness and efficiency. Previous research has found that when fairness and efficiency cannot be simultaneously satisfied, people often neglect the efficiency of helping a minority and tend to distribute donated resources equally amon…
Li Jingting, Zhao Lin, Dong Zichao, Wang Sujing, Wang Sujing
Micro-expressions refer to brief facial actions that individuals unconsciously display when attempting to suppress genuine emotions. Owing to their non-invasive nature, they possess significant application value in domains such as national security and public security. To address challenges includin…
Li Yawen, Cai Pan, Zuo Shijiang, Wang Fang, Dong Yu, Zhou Yang, Huang Niwen, Wang Fang
Contemporary society has witnessed an increasing tendency for individuals to "put a price tag" on themselves during mate selection. This study conceptualizes this phenomenon as a computational mindset in mate choice and proposes that in high relational mobility environments where interpersonal relat…
He Chenglin, Shu Yueyu, Zheng Jianhong, Huang Zejiao, Song Huan, Shu Yueyu, Zheng Jianhong
Psychobiography focuses on the study of extraordinary individuals, and its shift toward the life courses of ordinary individuals depends on the creation and practice of psychobiographical therapy. The theoretical core of psychobiographical therapy is based on the concept of "prototype scenario" prop…
Wang Yongyue, Fanying Zhang, Yue Fengkai, Xie Jiangpei, Xie Jiangpei
Improvisational behavior represents a behavioral pattern characterized by both immediacy and creativity. However, research that elaborates on the generation mechanism of improvisational behavior by incorporating its essential nature remains insufficient. To address this gap, the present study integr…
Zhang, Xiaoying, Huang,Tian, Wang,Yuting, Hou,Zhijun
Objective: This study explored the mechanism by which observing peers' adverse experiences influences distress disclosure of negative information through two progressive studies. Methods: Study 1 (N=218) constructed a moderated mediation model to analyze the relationships among stress, self-esteem, …
Yuan Ningxi, Wang Tangzhi, Lu Yanliang, Yuan Ningxi
Under the national strategy of forging a strong sense of community for the Chinese nation, psychological crisis intervention for ethnic minority students in Yunnan vocational colleges must transcend traditional psychological paradigms and shift toward the deep logic of mutual construction between cu…
Song Mengyao, Zhu Tingshao, Zhu Tingshao
HPV vaccination can effectively prevent not only the development of cervical cancer and its precancerous lesions, but also diseases in other anatomical sites caused by HPV infection. However, the vaccination status in China is not optimistic, with many young individuals exhibiting hesitation toward …
Chen Jiajing, Hu Dingding, Song Rui, Tan Shiqi, Li Yuqing, Zhang Shengnan, Zhu Tingshao, Zhao Nan, Zhu Tingshao, Zhao Nan
Objective: With the development of internet big data and machine learning methods, an increasing number of studies combine text analysis and machine learning to predict satisfaction. In research on building life satisfaction prediction models, to address the challenge of obtaining large amounts of e…
Li Jiawen, Ren Zhitong, Zhu Hanzheng, Xu Kexin, Li Jiawen
On social media, posts expressing a desire to "return to senior year of high school for a couple of days" are frequently observed. To investigate the nostalgic psychology toward high school among college student populations, this study employs a questionnaire survey methodology, innovatively integra…
Liu Haining, Dong Xianling, Liu Haihong, Liu Yanli, Li Xianwen
Alzheimer's disease exhibits extremely high incidence and mortality rates. As a clinical prodromal stage, investigating the formation and development mechanisms of amnestic mild cognitive impairment (aMCI) contributes to the prevention of Alzheimer's disease onset. Existing research demonstrates tha…
Zheng Minglu, Liu Linshu, Ye Haosheng, Zheng Minglu, Ye Haosheng
Social hierarchy is a dynamically evolving multidimensional system, whose acquisition can be categorized into three major pathways. The dominance pathway emphasizes resource acquisition through aggression and threat, having evolved under intense sexual selection pressure. The competence pathway high…
Jiang Ying, Hu Jia, Feng Liangyu, Ren Qidan, Jiang Ying
Under the backdrop of rural revitalization, how to comprehensively and effectively measure the post-poverty-alleviation living environment and accurately understand the negative impacts of poverty experience and its dynamics on child development, as well as the underlying mechanisms, has emerged as …
Zhu Yi, Hu Yi, Zhu Yi, Hu Yi
Detailed content feedback promotes deep-level learning, such as transfer. However, how the presentation mode of feedback in teacher-student interactions influences long-term learning transfer and its interpersonal neural basis remains unclear. This study employed a face-to-face teacher-student quest…
Tang Yipeng, Fan Wei, Zhang Xiao, Wang Shuhong, Xiong Shankuo, Pu Xiaoping, Fan Wei
With the digitalization and intelligence of enterprise operations and the platformization of management, emergent leadership among employees has gradually become a key force underpinning organizations. Consequently, the mechanisms of leadership emergence in online work contexts have emerged as an ur…
Liu Wei, Chen Ruixin, Guo Jinpeng, Liu Wei
Memory consolidation typically occurs slowly during periods of rest or sleep following memory encoding. However, under stressful conditions, memories may be rapidly consolidated. Given the long-standing lack of quantitative methods for neural activity during human memory consolidation, the mechanism…
Kai Shi, Jiansheng Li, Jiansheng Li
The present study examined whether a high-level construal mindset promotes categorizing information according to thematic relations. In two experiments, the construal-level priming task was used to initiate a high-level versus low-level construal mindset, and then all participants were asked to comp…
Hu Xiao, Hu Xiao
Signal detection theory is widely employed to explain individuals' decision-making processes across various types of cognitive tasks. However, a significant limitation of classical signal detection theory is its difficulty in further elucidating the intrinsic psychological mechanisms that underlie t…
Zhou Xingchen, He Wen, He Wen
Metacognition is cognition about cognition that encompasses various aspects of cognition. In recent years, the integration of metacognition and facial cognition has begun to attract attention. The entry points for this integration include the applicability of metacognitive illusions (the Dunning-Kru…
Qin Chunying, Yu Xiaofeng, Yu Xiaofeng
Polytomous attributes extend the traditional dichotomous attributes (i.e., two levels, typically defined as 0 and 1) in diagnostic assessments to multiple values (multiple levels can be 0, 1, …). They can describe not only whether examinees have mastered knowledge attributes but also the degree of m…
Liu Zejun, Liu Wei, Liu Zejun, Liu Wei
When two or more items are encoded in an integrated manner, familiarity can also support associative recognition—a viewpoint that has garnered substantial empirical support. However, disagreements persist regarding how integration influences both associative recognition and the recognition of indivi…
Chen Qunlin, Ding Ke, Chen Qunlin, Ding Ke
The serial position effect in divergent thinking refers to the phenomenon where the number of ideas generated per unit time gradually decreases over time, while the originality of ideas progressively increases. Associative theory and the executive control hypothesis respectively focus on explaining …
Huang Xinjie, Zhang Chi, Wan Huagen, Zhang Lingcong, Wan Huagen
The temporal binding effect refers to the phenomenon where the time points of voluntary actions and their outcomes subjectively converge. This effect can be categorized into action binding and outcome binding, corresponding respectively to the temporal shifts of voluntary actions and action outcomes…
Liu Nan, An Xinru, Li Aimei, Liu Pei, Sun Hailong, Li Aimei, Sun Hailong
Against the backdrop of the COVID-19 pandemic, how to persuade individuals to receive COVID-19 vaccination has garnered attention from policymakers and researchers. This study investigates, from an approach-avoidance motivation perspective, the effects of different goal frames (positive vs. negative…
Zhang Jie, Luo Zhaosheng, Yu Xiaofeng, Qin Chunying, Luo Zhaosheng, Yu Xiaofeng
Currently, most research on CD-CAT has been conducted based on 0-1 scoring data, whereas in actual educational and psychological testing, there also exists a large amount of nominal response data. This study develops a CD-CAT suitable for nominal response data (hereinafter referred to as NCD-CAT) ba…
Yu Xiaofeng, Tang Qian, Qin Chunying, Li Yujun, YU Xiaofeng
Typically, cognitive diagnosis necessitates diagnostic evaluation of examinees through cognitive diagnosis models. The validity of diagnostic results generated by cognitive diagnosis models depends on the congruence between examinees' response patterns and the selected model. Consequently, when eval…
Yang Shenlong, Rao Tingting, Yu Feng, Yongyu Guo, Guo Yongyu
In recent years, the field of social class psychology has exhibited a pronounced research orientation toward subjective social class, prominently manifested by an emphasis on the subjective class component within the concept of social class, with a tendency to focus on subjective class in theoretica…
Yue Su, Sijia Li, Feng Huang, Jia Xue, Tingshao Zhu, Jia Xue, Tingshao Zhu
The COVID-19 outbreak has caused tremendous damage to individuals' normal lives and societal development. Recently, with the emergence of novel coronavirus variants, people worldwide continue to face the threat of COVID-19. Vaccination is considered one of the most effective methods to combat this p…
Qiu Xiaoyan, Ge Yanying, Hu Chao, Hu Chao
During periods of social disasters such as pandemics, the number of trauma survivors increases dramatically; coupled with transportation disruptions, traditional psychological rescue efforts struggle to respond promptly to large-scale psychological crises among disaster victims. Expressive writing, …