人工神经网络的操作，包括网络学习，训练…

fuzzy ebook. not very awesome but this is very useful for your fuzzy program.

用C编写的遗传算法程序-prepared by the Genetic Algorithm

使用java构建神经网络的开源项目教程，是java爱好者学习神经网络的难得教材。虽然是英文教材，但是语言简单，易懂。书中前几章对于神经网络基本原理的讲解十分通俗易懂，利于初学者对相关知识的理解和吸收，即使不是java编程者，也可以从中受益匪浅。 -Using the java open source project to build neural networks tutorial java lovers are rare neural network learning materials. Although the materials are in English, but the language simple, easy to understand. The book for the first few chapters explain the basic principles of neural networks is very user-friendly, which will help beginners to understand and absorb the relevant knowledge, if not the java programmers can also be benefited from.

hide markov model(HMM) for matlab including initiate,train,and test three parts -hide markov model (HMM) for Matlab includi Vi initiate, train, and test three parts

模式识别二维链表实现isodata算法 早期试验，界面没有优化-2D pattern recognition algorithm to achieve isodata early testing, has not been optimized interface

用元胞自动机实现以不同颜色表示不同状态细胞的细菌分裂试验的算法C语言代码-Using Cellular Automata in order to realize different colors express different states of bacterial cells to split the test algorithm C language code

网上一直没有Harris算法的VC程序 无奈 自己写一个吧 用了两个小时就写好了 非常简陋 大家凑合着看 2005年11月15日-Harris algorithm VC procedures helpless himself wrote it with a two hour written a very simple you can make do with a November 15, 2005

神经网络算法-Neural network algorithm

遗传算法用于机器人路径规划的matlab代码-Genetic algorithms for robot path planning matlab code

本课题基于汉语普通话客观质量评价的模型、利用MOS主观评价方法和客观评价方法对语音样本进行评价。并分析客观评价方法的优缺点及在研究中遇到的问题和改进方法，其主要研究内容是利用MATLAB的建立语音客观评价模型，涉及到人工神经网络，数字信号处理等方面的内容。-The issue of objective quality evaluation based on the Mandarin model, using MOS subjective evaluation method and objective evaluation of speech samples evaluated. And analyze the advantages and disadvantages of an objective evaluation method of the problems encountered in the study and improvement of methods, the main research content is to use MATLAB model for the establishment of objective evaluation of speech, involving artificial neural networks, digital signal processing and other aspects.