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matlab_jiaocheng

于 2007-08-01 发布 文件大小:2461KB
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  《matlab教程》配套光盘，很小，但含有众多源码，欢迎下载()

文件列表：

autorun.inf

tutorial61
..........\matlab_c
..........\........\circle.m
..........\........\circle_f.m
..........\........\exm1.m
..........\........\exm112_1.m
..........\........\exm112_2.m
..........\........\exm112_3.m
..........\........\exm112_4.m
..........\........\exm113_1.m
..........\........\exm113_4.m
..........\........\grph.m
..........\........\LLS.m
..........\........\LLS1.m
..........\........\LLSDATA.m
..........\mbook
..........\.....\n6ch0.doc
..........\.....\n6ch00.doc
..........\.....\n6ch01.doc
..........\.....\n6ch02.doc
..........\.....\n6ch03.doc
..........\.....\n6ch04.doc
..........\.....\n6ch05.doc
..........\.....\n6ch06.doc
..........\.....\n6ch07.doc
..........\.....\n6ch08.doc
..........\.....\n6ch09.doc
..........\.....\n6ch10.doc
..........\.....\n6ch11.doc
..........\.....\n6ch12.doc
..........\.....\n6ch13a.doc
..........\.....\n6ch13b.doc
..........\.....\n6ch14.doc
..........\mfiles
..........\......\anim_zzy1.m
..........\......\assigninxyq.m
..........\......\callcheck.m
..........\......\calledit1.m
..........\......\DyDt.m
..........\......\evalinzzy.m
..........\......\exm013_1.m
..........\......\exm013_10.m
..........\......\exm013_2.m
..........\......\exm013_3.m
..........\......\exm013_4.m
..........\......\exm013_5.m
..........\......\exm013_6.m
..........\......\exm013_7.m
..........\......\exm013_8.m
..........\......\exm013_9.m
..........\......\exm014_1.m
..........\......\exm017_5.m
..........\......\exm0210_1.m
..........\......\exm0210_2.m
..........\......\exm0210_3.m
..........\......\exm0210_4.m
..........\......\exm0210_5.m
..........\......\exm0210_6.m
..........\......\exm0210_7.m
..........\......\exm0211_1.m
..........\......\exm0211_2.m
..........\......\exm0211_3.m
..........\......\exm0212_1.m
..........\......\exm0212_2.m
..........\......\exm0212_3.m
..........\......\exm0212_4.m
..........\......\exm021_1.m
..........\......\exm022_1.m
..........\......\exm022_2.m
..........\......\exm023_1.m
..........\......\exm023_2.m
..........\......\exm023_3.m
..........\......\exm024_1.m
..........\......\exm025_1.m
..........\......\exm027_1.m
..........\......\exm028_1.m
..........\......\exm028_2.m
..........\......\exm028_3.m
..........\......\exm028_4.m
..........\......\exm029_1.m
..........\......\exm029_2.m
..........\......\exm029_3.m
..........\......\exm031_1.m
..........\......\exm031_2.m
..........\......\exm031_3.m
..........\......\exm031_4.m
..........\......\exm031_5.m
..........\......\exm031_6.m
..........\......\exm031_7.m
..........\......\exm032_1.m
..........\......\exm032_2.m
..........\......\exm032_3.m
..........\......\exm032_4.m
..........\......\exm032_5.m
..........\......\exm032_6.m
..........\......\exm033_1.m
..........\......\exm033_2.m
..........\......\exm033_3.m

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    此函数包含了IBP算法的matlab源码程序，共享给大家共同学习(This function includes the IBP algorithm matlab source program, to share common learning)
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    说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)
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    这是一个模式是别里的关于fisher算法实现的广义线性分类器(This is a model other fisher Lane on the algorithm of generalized linear classifier)
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