人工神经网络课程.ppt

Artificial works ----Lecture 1. Introduction
Hongying Zheng (郑洪英)
******@cqu.
重庆大学计算机学院研究生课程
College puter Science and Engineering, Chongqing University
2018/3/17
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课程目的和要求
目的:将神经网络的理论和方法应用到生产实践
要求:
掌握人工神经网络的基本概念、单层网、多层网、循环网等各种基本网络模型的结构、特点、典型训练算法、运行方式、典型问题
了解人工神经网络的有关研究思想,从中学****开拓者们的部分问题求解方法
掌握软件实现方法。
2018/3/17
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授课计划
第一课:绪论(Introduction)
第二课:matlab与神经网络
第三课:人工神经网络基础
第四课:单层前向感知器(Perceptron)
第五课:BP神经网络
第六课:hopfield神经网络
第七课:SOM网络
第八课:神经网络研究展望
2018/3/17
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ANN国际期刊
ANN国际会议
ANN研究团队
参考书
2018/3/17
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works(ISSN: 0893-6080 )
The Official Journal of the International work Society, European work Society & Japanese work Society ;
works is an international journal appearing ten times each year that publishes original research and review articles concerned with the modelling of brain and behavioral processes and the application of these models puter and related technologies. Models aimed at the explanation and prediction of biological data and models aimed at the solution of technological problems are both solicited, as are mathematical putational analyses of both types of models.
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putation
putation disseminates important, multidisciplinary research results in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others. For researchers looking at the scientific and engineering challenges of understanding the brain and puters, putation mon problems and techniques in modeling the brain, and in the design and construction of neurally-inspired information processing systems. Timely, munications, full-length research articles, and reviews focus on advances in the field and also cover the broad range of inquisition into all aspects of putation.
http://neco./
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puting(0925-2312)
puting publishes articles describing recent fundamental contributions in the field of puting.