资源列表
BPwavelet_0222
- 基于小波神经网络算法的流域日径流预报模型，该例程为结合型小波神经网络的例子-based on wavelet neural network algorithm watershed day runoff forecasting model, the combination of routines for wavelet neural network examples
advancesa
- 这是我自己做的改进的遗传算法，主要是克服遗传算法的早熟问题-This is what I want done to improve the genetic algorithm, which is aimed at overcoming the genetic algorithm early problems
qamjietiao
- 本程序是关于qam的解调程序用c语言编写希望大家能用-this process is on the demodulation process qam c language with hope everyone can be prepared
8puzzle
- solve the 8-puzzle problem using A* algorithm. Definitely written by my self, also include BGI graphics library output.-solve the 8-puzzle problem using A * algori thm. Definitely written by my self. NBS also include graphics library output.
2006102420
- 排序方法，实现简单排序，原码，有说明文档。-sorting method, a simple ranking, the original code and documentation.
GAforFunction
- 基于Matlab的函数优化遗传算法程序 .-based on Matlab function of genetic algorithm optimization procedures.
SA-c++
- 这个是SA模拟退火求函数极值用c++编译的程序-the simulated annealing SA is seeking function using extreme procedures c compiler
EMdemo
- EM algorithm with a Rauch-Tung-Striebel smoother and an M step,内有说明-EM algorithm with a Rauch-Tung-Striebel's moother and an M step, which is described
PSO.c++code
- 水平有限，仅供参考！望大家多提宝贵意见！-limited, and for reference purposes only! Hope you will provide more valuable opinions!
ID3Algorithm_jianjie
- ID3算法有一定的自学习、自组织能力,适用于复杂系统的智能诊断。以实例验证了该算法对RH-KTB真空抽气系统故障诊断的有效性。-ID3 algorithm to a certain extent self-learning, self-organization, applied to a complex system of intelligent diagnosis. Examples to show that the algorithm of RH - KTB vacuum exhaust s
GA_suanfa
- 基因算法（GA） GA 是一种启发式的优化法 （heuristic optimization method）， 它是通过既定的随机搜索进行操作．优化问题的可能的解的集合被认为是 个体（individuals）组成的 人群（population）． 一个个体对它的环境的适应程度由它的 健康度（fitness）表示． -genetic algorithm (GA) GA is a heuristic optimization method (heuristic optimi method. 5)
QP_suanfa
- 测试无约束优化定理求解最小值,包括测试数据,在VC下可以实现,已经调试成功.-test unconstrained optimization for minimum theorem, including test data, the VC can be achieved, debugging has been successful.