搜索资源列表
fdlib_windows
- Face Recognition Library === === === === Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a lo
NeuralNet
- Neural Net implementation
test
- 五层的BP神经网络，简单易懂，而且加了详细的注释，训练的数据是变压器实际运行故障数据。-a simple five layers BP neural net with detailed notes.
BP
- 简单的三层BP神经网络，通俗易懂，加了很多注释。-A simple three layers BP neural net with detailed notes.
neural-net
- matlab中神经网络的一些源程序 很有用 -matlab neural network source useful
neural-net-matlab
- 神经网络很重要，也很有用，而其在matlab中的实现则更有用还方便。-The neural network is very important, and useful, but also convenient in matlab to achieve even more useful.
cllib
- CLLIB is a varied collection of Common lisp tools and routines in CLOCC. -CLLIB is a varied collection of Common lisp tools and routines in CLOCC. Includes: ■ "guess the animal" game simple neural net (AI) ■ autoload function and snarfi
newadaboost---Copy
- neural net and genetic alg
rbf-net
- 关于rbf神经网络辨识的一个例子。通过此例子将对rbf神经网络的辨识的编写有个很好的理解》-About rbf neural network identification of an example.
MathLab
- the used SOM neural net
MATLAB-net
- 在matlab中，利用神经网络的学习小程序-In matlab, using neural network learning applet
GA-TO-bp-NET
- 采用GA对神经网络的权值与阀值进行优化，得到效果更好的网络-GA uses neural networks for weights and thresholds are optimized to get better network
Neural-network-code
- 本程序包括神经网络编程matlab实现和AForge.NET实现。其中有bpAnnIris，testData，totalData，trainData。bpannIris-This procedure, including neural network programming matlab implementation and AForge.NET implementation. There bpAnnIris, testData, totalData, trainData. bpannIris
net
- BP神经网络训练的代码，对于初学者非常有用。(neural metwork training)
newjor (2)
- jordan neural network
neural-net-rbf
- programs of radial basis function in MATLAB
abc
- matlab simulink model for neural net work
assigen
- neural net problem to help
XorNeuralNet
- Neural net what make task xor
基于脉冲耦合神经网络的图像分割程序
- 近年来，基于Eckhorn的猫视觉皮层模型的脉冲耦合神经网络（Pulse Coupled Neural Net,PCNN）,已被广泛用于图像平滑、分割以及边缘检测等图像处理领域的研究中，并显示了其优越性。(Pulse Coupled Neural Net,PCNN)