解非线性规划模型的遗传算法，用c++语言编写，注释完整，结构清晰...

< 神经网络设计源代码>>一书的源代码。-err

基于java实现的遗传算法 神经网络 实数编码 交叉 选择 变异-achieve genetic neural network algorithm is coded cross-choice variant

SMC1602A(16*2)模拟口线接线方式 连接线图: --------------------------------------------------- |LCM-----51 | LCM-----51 | LCM------51 | --------------------------------------------------| |DB0-----P0.0 | DB4-----P0.4 | RW-------P2.5 | |DB1-----P0.1 | DB5-----P0.5 | RS-------P2.6 | |DB2-----P0.2 | DB6-----P0.6 | E--------P2.7 | |DB3-----P0.3 | DB7-----P0.7 | VLCD接1K电阻到GND| --------------------------------------------------- Keyboard接线 PS/2--------51 1 DATA------P3.4 3 GND 4 VCC 5 CLK-------P3.3 接在51的外部中断，触发方式为低电平 本程序源码只供学习参考，不得应用于商业用途，如有需要请联系作者。-SMC1602A (16* 2) analog line port to connect wiring diagram:- | LCM-51 | LCM-51 | LCM 51 | | | DB0-P0.0 | DB4-P0.4 | RW-P2.5 | | DB1-P0.1 | DB5-P0.5 | RS-P2.6 | | DB2-P0.2 | DB6-P0.6 | E P2.7 | | DB3-P0.3 | DB7-P0.7 | VLCD access 1K resistor to GND |-Keyboard Connection PS/2 51 1 DATA P3.4 3 GND 4 VCC 5 CLK-P3.3 access in 51 of the external interrupt trigger mode for low-level source for learning the procedu

这是关于人工神经网络的c算法实现，对于算法研究比较有用！-C++ implementation of class network By Luca Cinti and Lorenzo Masetti, based on lightweight neural net library written in C by Peter van Rossum.

用模拟退火算法求解TSP问题-simulated annealing algorithm for TSP

遗传算法，是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法.遗传算法是一类可用于复杂系统优化的具有鲁棒性的搜索算法-Genetic algorithm, is a simulation of Darwinian natural selection to genetic selection and biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search methods. Is a kind of genetic algorithm can be used for optimization of complex systems is robust The search algorithm

机器人足球实现的核心代码-Robot Soccer realize the core code

模糊神经网络的源码,课程设主计.主要用来识别电子鼻的信号.-FNN source, the Comptroller course is set up. Primarily used to identify the electronic nose signal.

使用遗传算法求解邮递员问题，从而可以同时求得多个最优解-The use of genetic algorithm postman problem, which can be obtained at the same time more than the optimal solution

遗传算法的实现（转载）-genetic algorithm to achieve (reproduced)