资源列表
gasrc
- 专家系统，实现动物识别的人工智能系统，前向后向匹配-Expert system, artificial intelligence systems to identify animals
spso1
- 曾建潮编写的微粒群算法的随机微粒群算法的源程序代码-particle swarm optimization
FLch5eg1
- 采用CMAC网络对对频率为0.1572HZ的谐波进行辨识，选择联想单元A*=4，权值Wa=W1+W2+W3+W4- CMAC group program,include four sub-CMAC CMAC program 1
FLCH3eg1
- 采用单神经元结构对两类样本进行分类，其中X为输入样本，T为目标向量。X=[-0.5,-0.5,0.3,0.1,-0.1,0.8,0.2,0.3 0.3,-0.2,-0.6,0.1,-0.5,1.0,0.3,0.9] T=[0,0,0,1,0,1,1,1]- The self learning function of the multilayer perceptron of an artificial neural network can be easily realized by the
FLch6eg2
- 采用基于遗传算法的神经网络学习非线性函数YP=1-EXP(-I/2)-Genetic algorithm and AI
FLch5eg4
- 采用改进的CMAC神经网络学习函数yp=5*sin(2*p)*1.2*exp(-i/260) -Artificial Neural Networks, ANN
OneLayerPerceptronClassifier
- A simple One layer perceptron classifier written in CSharp and using the AForge framework
Ch06
- 6.1 简介 6.2 资料的表示 6.3 相似度的计算与测量 6.4 分群法的采用 6.5 分割式分群法 6.6 非分割式分群法 6.7 分群法在大型资料集合之设计 6.8 评估分群的结果-6.1 Introduction 6.2 The data indicated that 6.3 Calculation and Measurement of similarity grouping law of 6.4 using 6.5 cut 6.6 clustering m
network_plate
- 利用BP神经网络进行车牌识别的算法介绍文章，给出了实验的结果-BP neural network algorithm in the application of license plate with the experiment
NN_Sim
- 利用神经网络进行数据仿真的工具，带有详细的使用说明，方便大家进行实验比对，也为开发BP程序提供了一个很好的例子。-A neural network simulation tool with detailed instructions to have experiment, also provided a good example for the development of BP.
NN
- 利用神经网络进行系统辨识和逆辨识的程序，可以供大家参考。-The example programme of neural network for system identification and inverse system identification.
BP_Number
- BP神经网络的应用，用来进行数字识别，是一个很好的应用例子。-Application of BP neural network, used for digital identification, is a good example of the application.