资源列表
Neural-network-and-SVM-courseware
- 讲述了神经网络的基础知识，顺利过渡到支持向量机这种特殊的机器学习工具。通过对本课程的学习，会充分了解到支持向量机与神经网络的区别及联系。-Tells the story of the basic knowledge of neural network, a smooth transition to the support vector machine (SVM) this kind of special machine tools. By learning this course, you wi
GA_program
- This the source code of Genetic Algorithm in Matlab.-This is the source code of Genetic Algorithm in Matlab.
chapter2
- BP神经网络的非线性系统建模——非线性函数拟合-Nonlinear system modeling BP neural network- non-linear function fitting
chapter3
- 遗传算法优化BP神经网络——非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
chapter4
- 神经网络遗传算法函数极值寻优——非线性函数极值寻优-Function neural network genetic algorithm optimization extreme- extreme nonlinear optimization
chapter5
- 基于BP_Adaboost的强分类器设计——公司财务预警建模-Design BP_Adaboost strong classifier based- the company' s financial early warning modeling
chapter7
- RBF网络的回归--非线性函数回归的实现-RBF network regression- nonlinear function of the realization of the return
chapter8
- GRNN网络的预测----基于广义回归神经网络的货运量预测-GRNN network---- forecast based on generalized regression neural network cargo forecasts
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
chapter13
- LIBSVM参数实例详解 -Detailed examples LIBSVM parameters
chapter14
- 基于SVM的数据分类预测——意大利葡萄酒种类识别-Data classification based on SVM prediction- Italian wine species identification
PSOSA5
- 基于模拟退火的粒子群优化算法，算法的迭代速度快，精度高- particle swarm optimization with simulated annealing