人工智能编程示例

首先采用某种编码方式将解空间映射到编码空间，每个编码对应问题的一个解，称为染色体或个体。一般通过随机方法确定起始的一群个体，称为种群，在种群中根据适应值或某种竞争机制选择个体，使用各种遗传操作算子产生下一代如此进化下去，直到满足期望的终止条件。-begin using some form of coding mapping to the solution space coding space, each encoding a corresponding solution to the problem, known as chromosome or individual. General randomly determined by the initial group of individuals, called stocks, the stocks based on fitness or some mechanism to choose the individual competition, the use of genetic Operator evolution of the next generation so on, until the termination meet expectations conditions.

TSP算法，应用局部搜索法得到最优路径，已经经过优化。没有密码，可以使用，vc环境下使用。-TSP algorithm, using local search to be optimal path has been optimized. No password can be used, vc environments.

JVT-Z203_jsvm.rar

使用BP网络进行模式识别,识别0－9的数字-Using the BP network pattern recognition, identifying the number of 0-9

基于matlab和DSP的IIR/FIR 滤波器-Matlab and DSP-based IIR/FIR filter

遗传算法，生物技术，进化技术，主用用来求函数优化问题-Genetic algorithms, bio-technology, evolution of technology, the main use for the seek function optimization problems

网络能通过学习带正确答案的实例集自动提取“合理的”求解规则，即具有自学习能力-network can learn the correct answer with examples of automatic drawing of the "reasonable" solution rules, that is self-learning ability

BLDC建模及神经网络控制，建模讲述的很详细，难得的论文。-BLDC modeling and neural network control, modeling, described in great detail, rare papers.

清华大学不确定规划教材中的用遗传算法训练神经元网络的混合智能算法2-Tsinghua University, uncertainty in the planning of teaching materials by using genetic algorithm trained neural network Hybrid Intelligent Algorithm 2

模拟退火算法实现，内负有模拟退火的聚类，TSP等等6种问题的实现例子，在EXAMPLE文件夹内-Simulated annealing algorithm, which has a simulated annealing clustering, TSP, etc. 6 kinds of issues realize examples folder in EXAMPLE