人工神经网络模型及仿真--毕业论文.doc

机器学习论文 题 目： 人工神经网络模型及仿真 学 院： 电子工程学院 专 业： 电路与系统 姓 名： 学 号： 摘要 人工神经网络（artificial neural network，ANN）通常被认为是基于生物学产生的很复杂的分析技术，能够拟合极其复杂的非线性函数。它是一项发展十分迅速、应用领域十分广泛的技术，已在人工智能、自动控制、模式识别等许多应用领域中取得广泛成功。ANN是一种重要的机器学习工具。 本文首先简要讲述了一些相关的生物神经网络知识，在此基础上，引出了人工神经网络。然后概述了ANN的发展历史及现状并总结了ANN的特点。在第二部分，对ANN发展过程中具有标志性的几种ANN的模型及其结构进行了讲解，如：感知器、线性神经网络、BP网络、反馈网络等，并给出了相应的简单应用事例，而且使用功能强大的仿真软件——MATLAB对它们的性能进行了仿真分析。在论文最后，给出了本文的总结以及作者的一些体会。 ABSTRACT Artificial neural network(ANN) is commonly known as biologically inspired, highly sophisticated analytical technique, capable of capturing highly complex non-linear functions. ANN is a kind of widely applied technique developed highly,and it has been applied sucessfully in the domains, such as artificial intelligence, autocontrol, pattern recognition and so on. In addition, ANN is a significant means of machine learning. In this paper,the author firstly show some basic biological neural networks, on which the introduction of artificial neural network is based. Then, the author dispicts simplily the history of ANN and the present condition of ANN, and concludes the characters of ANN. In the second part of the paper, the models and structures of ANNs which representive the ANN’s development are emphasized, such as perceptron,linear neural network,BP neural network,recurrent network and so on, and some examples based on those networks are illustrated. In addition, the author simulate the performance of the ANNs by a powerful software, MATLAB. At last, the author puts forward the conclutions of this paper and his thoughts. 目录 第一章 神经网络……………………………………………………………………1 1.1 生物学神经网络………………………………………………………….......1 1.2 人工神经网络……………………………………………………………...…2 1.2.1 人工神经网络的产生…………………………………………………....2 1.2.2 人工神经网络的发展………………………………………………..…..3 1.2.3 人工神经网络的现状…………………………………………………....5 1.3 人工神经网络的特点……………………………………………………...…5 第二章 人工神经网络模型及仿真………………………………