Artificial Neural Networks: A Powerful Tool for Cognitive Science

M. Jamshidi, N. Alibeigi, Nahid Rabbani, Bahareh Oryani, A. Lalbakhsh
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引用次数: 17

Abstract

Recently, using the statistical methods for analysis of humans' relationships has experienced a dramatic growth by psychologists. Although, surveying such complex concepts is considered as a difficult calculation by mathematical or statistical methods, computational intelligence-based approaches are able to examine any kinds of complex functions. In this paper, a practical approach based on Artificial Neural Networks (ANN) as a helpful tool to analyze data in the field of cognitive psychology is demonstrated. To illustrate the proposed method, a psychology problem based on 5 questionnaires was designed and each of questionnaires was filled randomly by MATLAB. The errors of the network are shown by surface function, verifying the reliability of the proposed method.
人工神经网络:认知科学的强大工具
近年来,心理学家运用统计方法分析人际关系的研究有了显著的发展。尽管测量这些复杂的概念被认为是用数学或统计方法难以计算的,但基于计算智能的方法能够检查任何类型的复杂函数。本文提出了一种基于人工神经网络(ANN)的认知心理学数据分析方法。为了说明所提出的方法,设计了一个基于5份问卷的心理问题,并通过MATLAB随机填写问卷。用曲面函数表示了网络的误差,验证了所提方法的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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