abroad an A* algorithm demonstration, with the source code. As a very good refer...

模式识别中的ISODATA算法演示-pattern recognition algorithms demonstrated the ISODATA

线性神经网络应用实例-linear neural network application

人工智能BP问题的C语言实现，BP算法可见人工智能教材-the C language, BP artificial intelligence algorithms can be seen teaching

该算法为模糊自适应整定的PID控制算法，该算法在matlab环境下开发，可以直接运行 -The algorithm for fuzzy adaptive tuning of the PID control algorithm in the matlab environment development, can be directly run

tfidf已应用于文本处理任务中。函数的输入是一个[i*j]项频率矩阵。输出是由tfidf度量计算的元素的[i*j]。

10。《用于最优化的计算智能》，Nirwan Ansali，Edwin Hou着，李军，边肇棋译 清华大学出版社 1999年第一版 本书从讨论组合优化中的基本问题――NP问题入手，系统地讲述了近年来所发展起来的智能最优化的各种技术和方法，其中包括启发式搜索、Hopfield神经网络、模拟退火和随机机、均场退火以及遗传算法等；并在此基础上，通过一些典型的应用问题，如旅行商问题、模式识别中的点模式匹配问题、通信和任务调度等问题进一步阐明以上一些基本方法怎样用来解决这些原来具有NP性质的困难问题。本书是作者在美国新泽西州理工学院多年讲授有关课程的基础上写成的。全书深入浅出，理论联系实际。为帮助学生掌握基本概念，提高学习能动性，各章编写了习题。本书可作为通信、计算机、控制各专业的高年级学生和研究生学习有关课程的教材。它对于广大科研工作者也是一本很有实际价值的参考书。 -10. "Optimal for Computational Intelligence," Nirwan Ansali, with Edwin Hou, Li Jun, Pin Zhaoxing chess translation Tsinghua University Press in 1999 the first book version of combinatorial optimization from the discussion of basic questions-- NP problem start, the system described in recent years to develop the intelligent optimization of the technology and methods, These include heuristic search, Hopfield networks, simulated annealing and random machine, mean field annealing and genetic algorithms; and on this basis and through some typical applications, such as the traveling salesman probl

人工神经网络基本模型：BP、ART、Hopfield、SOM-ANN basic model : BP, ART, Hopfield, SOM

模拟退火c++的算法程序，广泛应用于最优化、运筹学、人工智能、遗传算法等领域，具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value

自组织神经网络用于图像分割matlab实现-self-organizing neural networks for image segmentation achieve Matlab

svmTrain svm在matlab中运行 训练-svmTrain svm training run in matlab