TSP问题的一个简单实验例程,应用效果不错,可以作为初学者的参考...

行人模拟，开源的程序，对行人模拟的可以联系我，mjliao@163.com-pedestrian simulation, revenue procedures, simulated pedestrians can contact me, mjliao@163.com

C++实现神经网路的bp算法，初学者可以参考下 BP algorithm of neural network s achievement based on c++, maybe it is useful to a new learner-C++ Realization of bp neural network algorithm, beginners can refer to under the BP algorithm of neural network s achievement based on c++, Maybe it is useful to a new learner

基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。-Java-based genetic algorithm realize the source code, which will help beginners learn how to use GA as well as realize java.

Matlab遗传算法工具箱函数及应用实例 Matlab遗传算法工具箱函数及应用实例-Matlab genetic algorithm toolbox function and application of genetic algorithm Matlab toolbox function and application example

遗传算法的实型表示实现，与大家共享一下。实际应用中只需改变evalF.m就可以-Genetic algorithm, said implementation of the real, to share with you about. Practical application can only change evalF.m

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

一个基本遗传算法求函数最大值的程序，在Vc中运行结果很好，有详细的代码注释，可以做为模板使用。 sag_sag.c-a basic function of genetic algorithms for maximum procedures, the Vc running good results, a detailed source notes, can be used as a template. Sag_sag.c

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色系统(第三版)-projections Gray (No. Third Edition)

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.

JESS开发模式，人工智能开发架构-JESS development model, the development of artificial intelligence structure