桂林理工大学本科毕业设计(论文)作业

学 号:3080419285

题目类型: 论文

(设计､论文､报告)

桂林理工大学

GUILIN UNIVERSITY OF TECHNOLOGY

本科毕业设计(论文)

题目:

人工神经网络在认知科学的研究

中的应用状况的报告

学 院: 机械与控制工程学院

专业(方向): 自动化(控制)

班 级:

学 生:

指导教师:

2015年6月1日

I / 26 摘 要

人工神经网络是一种基于生物神经网络结构和机制的算法或模型｡认知科学是一种研究人类大脑处理认知信号并做出反应过程的科学｡利用对人类认知现象的了解来设计的人工神经网络具有很好的处理信息的能力,这对现实应用很有帮助｡现在,人工神经网络模拟认知科学已经成为了人工智能的重要分支｡

首先简单说明了人类大脑神经元特点,生物神经元的简单组成和复杂联系构成了生物神经网络模型｡其次简述了人工智能和认知科学的历史,从古希腊哲学认知研究到现代的人工神经网络模拟认知｡接着总结了典型的人工神经网络结构,共有十五组经典神经网络模型｡然后重点论述了十个近年来关于人工神经网络模拟认知的模型,主要从模型模拟认知的优势､模型结构､模型信息处理过程和模型应用等方面阐述｡接着讲述作者总结的人工神经网络模拟认知现象的发展规律,即模型机制的完全生物性与部分生物性问题｡再接着介绍了五个关于人工智能神经网络国际会议,特别列出了会议的投稿主题｡最后,对人工神经网络模拟认知的发展趋势做预测,多学科综合和复杂性成为未来神经网络研究的方向｡

关键词:人工神经网络;认知;国际会议

The report that the situation of artificial neural network on the

study of cognition science in recent years

Student:LIANG Cheng-he teacher:XU Jian-yu

Abstract: Artificial neural network which is based on the structure and theory of biological

neural network is algorithm and model. Cognition science is a subject which discusses the

process of disposing information and response. Artificial neural network have the

capability of dealing with information which is designed for understand biological

cognition phenomenon on cognition science better than other model, and it is useful to the

need of the reality. In recent years, artificial neural network model of cognition science

become one branch of artificial intelligence.

First,we introduce that the characteristics of human being of brain neurons, which is

made up of simple element and complex connection, and the history of the artificial

intelligence and cognitive science from ancient Greek philosophy to artificial neural

network model of cognition in recent years. Next, we summarize that the typical structure

of the artificial neural network, together fifteen neural network models. Then, we discuss

that the ten artificial neural networks which are model of the cognition in recent years,

including the model of the advantage of the model, the cognitive structure of the model, the

II / 26 aspects of information process, the use of models. The author summarize that the

development law of artificial neural network, including all of biological model and the part

of biological model. And then it introduces that five international meetings of artificial

intelligence neural network, and make a list which is meeting contribute theme. Finally, the

article said that the development of the artificial neural network model of cognitive, which

will become complex and multi-discipline in the future.

Key words: artificial neural network;cognition;international conference

目 次

摘 要 ............................................................................................................................... I

Abstract: ............................................................................................................................... I

1 引言 ................................................................................................................................ 1

1.1 基本原理 ......................................................................................................... 1

1.2 人工神经网络发展简史 ................................................................................. 1

1.3 文章内容 ......................................................................................................... 2

2 对神经网络发展有重要影响的神经网络模型 ............................................................. 3

3

模拟认知的人工神经网络模型 ..................................................................................... 3

3.1

模拟记忆 ................................................................................................................ 3

3.1.1 R-nets模型 ................................................................................................ 3

3.1.2 非线性动态人工神经网络模型 ................................................................. 5

3.1.3 竞争网络模型和周期联想记忆模型 ......................................................... 6

3.1.4 计算机认知神经学模型 ............................................................................. 8

3.2 模拟注意力 ............................................................................................................ 9

3.2.1 注意运动推导模型 ..................................................................................... 9

3.3 模拟情绪 .............................................................................. 错误！未定义书签。

3.3.1 DUONN模型 ................................................................................................ 10

3.4

模拟语言 .............................................................................................................. 11

3.4.1

语法理解模型 ........................................................................................... 11