资源列表
RBF
- 使用RBF（径向基函数）神经网络进行函数拟合-Function fitting using RBF (radial basis function) neural network
SVM
- 使用SVM（支持向量机）进行函数拟合，神经网络-Using SVM (support vector machine) for function fitting, neural network
SVM_classifier
- 使用SVM（支持向量机）进行函数分类，神经网络-Using SVM (support vector machine) for function classification, neural network
Multi---objective-PSO
- 基于粒子群算法的多目标优化算法，结构简单，优化效果显著，用于多目标同时优化-Multi-objective particle swarm optimization algorithm, simple structure, optimize the effect is significant, for multi-objective optimization simultaneously
etic-algorithm
- 基于bp神经网络，采用遗传算法优化，运用matlab完成识别分类的工作，自带实例-Using genetic algorithm to optimize BP neural network, with examples
svm
- svm的matlab实现，里面有实例，可以运行-Matlab SVM implementation, which has an example, you can run
444
- 算法流程：选定训练集和测试集-数据预处理-交叉验证选择最佳参数-分类准确率-预测-利用最佳参数训练SVM-Algorithm flow: selected training set and test set- data preprocessing- cross-validation selection of the best parameters- classification accuracy- prediction- training SVM using the best parameter
555
- 利用SVM算法进行单层竞争神经网络的数据分类患者癌症发病预测-Prediction of Cancer Incidence in Patients with Single- Level Competitive Neural Network Classification Using SVM Algorithm
Experiment-1
- 王明哲 一． 实验题目 八数码问题 二． 实验目的 1. 掌握启发式搜索A*算法的原理 2. 实现用A*算法求解具体问题 三． 实验内容 -one. Experimental topic Eight digital issues two. Purpose 1. Grasp the principle of the heuristic search A* algorithm 2. A* algorithm to solve specific proble
tempotron
- Tempotron算法简单实现，Spiking神经网络初学，实现的学习算法-Tempotron algorithm is simple to achieve, Spiking Neural Network beginner to achieve learning algorithm
netbp
- 一个神经网络程序，适合初学者，经典有用，有利于扎实基础-A neural network procedures, suitable for beginners, classic useful, is conducive to a solid foundation
chapter06
- Pytho实现语言bp神经网络，内含数据集，适合初学者。-Pytho implementation language bp neural network, containing data sets for beginners.