文档介绍：论文题目: BP人工神经网络同时测定三种氯酚类物质
学院: 金山学院
这个是不是应该填系啊,问一问你们教学办的。
专业年级: 计算机科学与技术2007级
学号:
姓名:
指导教师、职称:
2011 年 5 月 18 日
BP artificial work to sSimultaneous determination of three chlorophenols substances with BP artificial work
目录
摘要 I
Abstract II
1
2
2
人工神经网络发展简史 2
人工神经网络的应用 3
人工神经网络的研究现状 4
5
8
8
9
BP网络的定义以及特点 9
BP网络的应用 10
10
10
11
4同时测定三种氯酚类物质的MATLAB实现 13
13
13
14
14
14
5结论 18
致谢 20
附录 BP神经网络(MATLAB)源代码 21
摘要
BP算法已成为目前应用最为广泛的神经网络学习算法,反向传播(BP网络)是将W-H学习规则一般化,对非线性可微分函数进行权值训练的多层网络。它具有易理解、易实现、全局搜索能力强等特点,倍受科学与工程领域的广泛关注,已经成为发展最快的智能算法之一。论文内容主要介绍了人工神经网络的起源、特点以及发展,经典BP算法的基本模型和原理,用matlab实现经典BP算法,预测模拟水样中混合三种氯酚类物质的浓度,结果表明神经网络预测得到的数据和原始数据总体上是很接近。
关键词:人工神经网络;BP算法;氯酚
Abstract
BP algorithm is being the most wide application work learning algorithm for the moment. Back propagation algorithm(work) will generalize the W-H learning rules. For the nonlinear differential function, it takes the multi-work of weitht training. Its feature is easily to be understanded, easily to be realized and strongly in global search capability. Thus, it received much attention in the field of science and engineering. Now it has already developed to be one of the fastest intelligent algorithm. The paper mainly introduce the characteristics, application and theories of artificial work and classical BP algorithm, which realize the classical BP algorithm with matlab and have a discussion of the prediction and simulation in three kinds of chlorine water mixture in the concentration of phenolic substances and its e,The results show that the work predicted data and raw data on the whole, very close.
Key word: Artificial works, BP Algorithm, Chlorophenol
人工神经网络(Artifical work,简称ANN)理论是上世纪80年代中后期世界范围内迅速发展起来的一个前沿研究领域,其发展已经对计算机科学、人工智能、认知科学等领域产生了重要影响。近年来,世界各国掀起了ANN研究、开