映射的源代码。包括：模糊ARTMAP，默认ARTMAP，实例

遗传算法与工程设计-Genetic Algorithms and Engineering Design

这是cmu大学的一个研究小组编写的神经网络中反向传播算法的源代码，很有参考价值。-This is a university research group to prepare the neural network back-propagation algorithm source code of great reference value.

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

nuralnetwork using back propegation and genatic algorithm implementation

Using Simulated annealing to solve TSP

模式识别与人工智能中经典算法younger算法的实现及应用-Pattern Recognition and Artificial Intelligence in the classical algorithm younger Algorithm and Application

完整的3D 模型检索程序，使用C语言编写，可以使学习者从底层研究三维模型的检索框架，同时提供的C语言程序包也可以设计新的三维模型检索算法。-Complete 3D model retrieval, the use of C language, so that students can study three-dimensional model from the bottom of the search framework to provide the C language package can also be three-dimensional model of the design of the new search algorithm.

用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC

人工神经网络- Artificial nerve network

该程序代码实现BP网络函数逼近，适合初学者学习-The program code to achieve BP network function approximation, suitable for beginners to learn