资源列表
SAGAexp.m
- 遗传算法和模拟退火算法融合，解决遗传算法早熟问题。(Fusion of genetic algorithm and simulated annealing algorithm)
新建文本文档 (2)
- 在栅格地图中基于贪心算法避开障碍物的同时寻找两点间最短路径,(based on one way in the map to builder a path planner)
PSO
- 粒子群优化算法代码，实现任意函数的优化，只需要对需要优化的函数进行编写即可。(Optimization of particle swarm optimization algorithm for optimization of any function)
LSSVM
- 最小二乘支持向量机，改进后的支持向量机算法(least squares support vector machine, Improved least squares support vector machine)
pipeijuzi
- 使用遗传算法些的一个小程序，旨在匹配句子(A small program using genetic algorithms to match sentences and verify the advantages of genetic algorithms)
预测
- BP神经网络模型预测的Python代码实现，测试有效(BP neural network model forecast Python code implementation, test effectiveness)
神经网络-LMS
- 神经网络的python实现---LMS算法(Python implementation of ---LMS algorithm for neural networks)
LMS算法改进
- Python神经网络-LMS算法改进-降低误差率(Improvement of -LMS algorithm for Python neural network)
神经网络-退火算法
- 神经网络在python中应用，并引入退火算法(Neural network entry annealing algorithm in Python)
单隐层BP
- 说明： BP神经网络一个简单的异或回归训练，适合入门(BP neural network A simple XOR regression training, suitable for getting started)
DE
- DE codes for features mutasyon seleksiyon
PSO_BP
- 一个利用PSO粒子群优化算法训练BP神经网络的程序，在matlab环境中进行操作，代码简便可行。(PSO optimization neural network)