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GA568
- 为遗传算法提供基类，该基类将评价函数值直接作为适合度，采用新个体直接替换老个体的整体再生法 -genetic algorithm to provide the base class, the base class will be evaluated as a direct function of fitness, Individual direct new replacing the old individual's overall regeneration
bp_train_VC
- BP的训练方法.删除init_wj_hid_output与init_wj_input_hid可以进行新的学习!不然只是按老方式学习!这是一个最简单的BP算法异或问题!没有阈值，学习速度不可改变!下次会改进!如果同或只需改变输入的方式就可以!-BP's training methods. Delete init_wj_hid_output with init_wj _input_hid can conduct new learning! Otherwise, only the old wa
Threeway.tar
- Tucker, PARAFAC, GRAM, RAFA and misc. 2nd order models with a test data set (old version now covered by the N-way Toolbox)-Tucker, B6, GRAM, RAFA and misc. 2nd order models with a test's data et (old version now covered by the N-way Toolbox )
WiseBoy
- 人工智能模型的源码，可以实现简单的对话，智慧水平相当于3岁。-Source of artificial intelligence model, you can achieve a simple dialogue, the level of the equivalent of 3-year-old intelligence.
TSP_GA
- 《智能优化算法》课的作业，用遗传算法解TSP问题。其间遇到了收敛速度慢的问题，也是在这个网找到了解决方案。大家下载的应该都是那个VC6的Windows程序。我这个是从零开始写的，大家看起来应该容易懂些。C++的Console程序，VC2005下编译。全部用STL，所以旧的编译器可能会有点问题。压缩包内有谢胜利的论文：《TSP遗传算法的改进》。正是用他的贪婪交配才使得10代左右解就收敛到很好。再次赞一下！-" Intelligent Optimization Algorithms"
Neural_Networks_in_Control_Systems
- Neural Networks in Control Systems Panos J. Antsaklis The ever-increasing technological demands of our modem society require innovative approaches to highly demanding control problems. Artificial neural networks withtheir massive parallelis
FuzzyRCENeuralNetwork
- 一篇介绍模糊RCE神经网络的文章，很老但是很经典，英文的。-Fuzzy RCE neural network introduced an article, very old but very classic, in English.
Pulsed-Neural-Networks
- Neurons use action potentials to signal over long distances, as summarized in Chapter 1 by Gerstner. The all-or-none nature of the action potential means that it codes information by its presence or absence, but not by its size or shape. In this
RFM
- 辨识所使用的数据长度保持不变，每增加一个新数据就抛掉一个老数据，使参数估计值始终只依赖于有限个新数据所提供的新消息，克服了遗忘因子法不管多老的数据都在起作用的缺点，因此该算法更能有效的克服数据饱和现象。-Identify the use of data length remain the same, every time you add a new data will throw away an old data, make the parameter estimate always depen
gatsp
- 用遗传算法解决Tsp问题，这是一个老问题了，自己写的程序，按照自己的思路来的，效果还行，GUI界面-Tsp using genetic algorithms to solve the problem, this is an old question, write their own programs, according to their own ideas, and the results were OK, GUI interface
Happy-old-man-piece
- 聊天机器人程序可以较好的和人对话Demo-ai talk auto