资源列表
antcolonyoptimization
- 介绍了蚁群算法解决具体问题的优化算法，实践证明效果很好-on the ant colony algorithm for solving specific problems Optimization Practice has proved very effective
20060822
- BP批处理源代码，可自由选择三层或多次网络，和神经元数目-BP batch source code, the freedom to choose three or more networks and the number of neurons
Aprioritest
- 数据挖掘中Aprior算法的C++实现，采用的传统Aprior算法-Aprior data mining algorithms to achieve C, the traditional algorithm Aprior
NNArticle1
- 本人收集的神经网络和小波分析,以及电力方面的论文共200篇,这是第一部分-collection of neural network and wavelet analysis, and the power of a total of 200 papers, which is the first part
ZNNArticle2
- 本人收集的神经网络和小波分析,以及电力方面的论文共200篇,这是第二部分-collection of neural network and wavelet analysis, and the power of a total of 200 papers, which is the second part
ZNNArticle3
- 本人收集的神经网络和小波分析,以及电力方面的论文共200篇,这是第三部分-collection of neural network and wavelet analysis, and the power of a total of 200 papers, which is the third part of
ZNNArticle4
- 本人收集的神经网络和小波分析,以及电力方面的论文共200篇,这是第四部分-collection of neural network and wavelet analysis, and the power of a total of 200 papers, which is part of the 4th
ZNNArticle5
- 本人收集的神经网络和小波分析,以及电力方面的论文共200篇,这是第五部分-collection of neural network and wavelet analysis, and the power of a total of 200 papers, which is part of the 5th
getAnswer
- 遗传算法,实现的是一个猜答案的过程， 这种算法比较经典，可以借鉴-genetic algorithm to achieve guess the answer is a process, this method is classic, we can draw on
Geneticalgo_MAX
- 该程序利用遗传算法求Rosenbrock函数的极大值。该算法主要包括确定决策变量、建立优化模型、确定编码方法、确定解码方法、确定个体评价方法、设计遗传算子、确定遗传算法的运行参数等七个步骤。-the procedures for the use of genetic algorithms Rosenbrock function of great value. The algorithm including the identification of the main decision varia
Dalin_Algo
- 该程序是一纯滞后系统的大林控制算法，是一种不同于常规PID控制规律的新型算法。其控制效果大大优于普通PID控制算法。-that the procedure was a pure delay system Dalin control algorithm, Unlike a conventional PID control algorithm for the new law. Its effectiveness is significantly better than ordinary PID co
PID_BP
- 该程序是基于BP网络的PID控制系统。系统由两部分构成：经典的PID控制器和神经网络。-that the procedure was based on BP network PID control system. System consists of two parts : the classic PID controller and neural networks.