遗传算法和神经网络结合，利用两种算法的优点，有很好的参考价值-Genetic algorithms and neural networks combine the advantages of using two algorithms, a very good reference value

美国麻省理工大学教授人工智能的课件以及课后的习题相关-American University professor of artificial intelligence at MIT courseware and the exercises related to the after-school

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

一个比较好用的中文分词模块,是车东等人开发的,比较有名,java语言实现-a better quality of the Chinese word module, East cars were developed, more famous, java language!

利用matlab编写的神经网络算法，经过测试速度快效果好。-Prepared using matlab neural network algorithm, tested the effect of a good speed.

模糊数学与人工智能技术 -fuzzy mathematics and artificial intelligence technology

神经网络的相关应用项目-neural network-related application projects

利用PSO优化SVM，利用分组式训练方法提高算法速度-PSO to optimize the use of SVM, the use of packet-style training methods improve algorithm speed

遗传算法中的NSGA2算法实现，解决多目标遗传算法求解Pareto近似解，具有很好的运行效果-Genetic Algorithms NSGA2 algorithm to solve multi-objective Pareto genetic algorithm approximate solution, with very good operating results

PR development 2007 模式识别研究进展2007 -PR development 2007 Progress in Pattern Recognition, 2007