资源列表
bp
- bp算法（误差反传算法） 解决分类问题 通过一层输入，一层输出 和一个隐层-bp algorithm (error back propagation algorithm) to solve the classification problem by a layer of input, output, and a hidden layer
chapter11
- 离散Hopfield神经网络的分类——高校科研能力评价-Classification of discrete Hopfield neural networks- Research Capacity Evaluation
kuanjia
- 粒子群算法程序，能够求解方程组，求解最优化问题-Particle swarm optimization program that can solve the equations, solving optimization problems
Extreme-Learning-Machine
- 极限学习机，用于预测或分类,具有较好的实际应用效果。-Extreme Learning Machine, used to predict or classify
echo1
- 双基地sar回波数据仿真程序，使用BP算法的点目标仿真-Bistatic sar echo data simulation program, the point target simulation using the BP algorithm
Simulated-annealing-pseudocode
- 模拟退火算法的伪代码 可在各大编程软件上编程并调试运行-Simulated annealing algorithm pseudo-code program in the major programming and debugging software running on
pso-GM
- 混沌粒子群算法预测年龄，内容包括预测试用的数据，可以直接运行，方便修改-chaotic particle swarm optimization algorithm
GA_TSP
- Another TSP GA for Maltab
BPMatlab
- BP神经网络用于函数拟合与模式识别的Matlab示例程序-BP neural network for function fitting and pattern recognition procedures Matlab Example
DHP
- 控制参数调整，先进的自适应控制，能够自动调节控制器的参数，有很好的鲁棒性-Control parameter adjustment Advanced adaptive control can automatically adjust the parameters of the controller has good robustness
chapter_GA
- SVM的参数优化——如何更好的提升分类器的性能-SVM parameter optimization- how to better enhance the performance of classifiers
PSO
- mathematica编写的标准粒子群优化（PSO）程序-the mathematica written standard particle swarm optimization (PSO) program