摘要神经网络是一门近几年迅速发展起来的集神经科学、信息科学及计算机科学于一体 的交叉学科，它是一种将生物神经网络在结构、功能等方面的理论抽象、简化及模拟而 构成的信息处理系统。神经网络理论的应用已渗透到各个领域，并取得了令人瞩目的进 展。现代医学受益于高科技的发展，各种前沿科学技术已经渗入医学领域，使医学得到 了飞快的发展。神经网络凭借其自身的优点，已被应用于医学诊断领域的信号处理、特 征提取、模式识别等方面，并取得了可喜的成果，引起了众多研究者的关注。目前，在 医学信息处理中应用较多的神经网络是 BP 算法神经网络，神经网络在医学领域将具有广 阔的发展前景。本毕业设计课题立足于现代医学和计算科学的交叉点，使用 MATLAB 软件 以及“神经网络工具箱”，通过数学建模和计算机仿真模拟的办法，研究大脑脉冲信号动 态、非线性的传输过程。77730

毕业论文关键词 神经网络 生物医学信号处理 隐含层 BP 神经网络 大脑脉冲

毕 业 设 计 说 明 书 外 文 摘 要

Title Application of neural network method in the practice of modern biomedical signal processing

Abstract Neural network is a interdisciplinary integration combining neural science, information science and computer science, which have been developing rapidly in recent years。 It is a information processing system which abstracts, simplifies and simulates biological neural network theory in structure and function。 The application of neural network theory has penetrated into every field, and has made remarkable progress。 Modern medicine has benefited from the development of high technology。 All kinds of cutting-edge science and technology having infiltrated the medical field contributes to the rapid development of medicine。 Neural network has been applied in the field of medical diagnosis, signal processing, feature extraction, pattern recognition and so on, and has made great achievements, which has attracted plenty of researchers。 At present, the most widely applied neural network in medical information processing is BP neural network。 The neural network will have promising prospects in the field of medicine。 Standing at the intersection of modern medical science and computational science, using the software MATLAB and the neural network toolbox, via mathematical modeling and computer simulation approach, this graduation project has made research on the process how brain pulse signals dynamically and nonlinearly transmit。

Keywords Neural network；Biomedical signal processing；Hidden layer；BP neural network；Brain pulse

本科毕业设计说明书 第 I  页

目 次

1 引言 1

1。1 研究的目的以及意义 1

1。2 研究的内容 2

2 神经网络基本理论 3

2。1 神经网络的简介 3

2。1。1 神经网络的发展史 3

2。1。2 神经网络的特点与优点 4

2。1。3 神经网络的分类 5

2。1。4 神经网络实现的环境