资源列表
clustalw
- 生物序列比对程序clustw的源代码，c++实现，为序列比对研究提供很大帮助-biological sequence of procedures clustw than the source code, c realized, as compared with the sequences of great help research
modhmmc
- 马尔科夫模型的c语言实现，用于生物序列分析的好的参考，和java版本的可互相参考-Markov Model C Language for Biological Sequence Analysis of good reference java and the versions of each another
ViewCDib
- 自己用VC6.0编写的用遗传算法进行图像分割的软件，该算法已经经过验证，绝对可靠。（菜单：边缘检测－ 用遗传算法分割图像）本程序还包括其它一些图像处理的功能，但这些功能还有待进一步修改。-VC6.0 prepare themselves with the use of genetic algorithms for image segmentation software, the algorithm has been tested, absolutely reliable. (Menu : Edg
matlab_kongzhi
- 人工智能和神经网络的.m程序,使用的是图形用户截面来实现-artificial intelligence and neural networks. M, the use of the graphical user to achieve cross-section
fuzzy1
- 实现3节倒立摆的功能，有很强的事实性，本程序获得过设计大奖。-achieve three functions of the inverted pendulum, a strong factual, this program won design awards.
predicSrc
- This applet illustrates the prediction capabilities of the multi-layer perceptrons. It allows to define an input signal on which prediction will be performed. The user can choose the number of input units, hidden units and output units, as well as th
c++neuralnetworkdevelopmentpakage
- annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.-ANN, ie, Artificial Neural Netwo
rbfSrc
- This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some \"sample\" points for some arbitrary curve. Next, the user specifies the number o
BPtoXorS
- 此程序实现BP网络对异或地模拟，执行是没有错误的，但是时间过长的话，会出现debug 错误。虽然对程序本身的输出没有影响，但是让自己觉得不完善。-BP network to vary or simulation, the implementation is wrong, but the time is too long, there debug errors. While the process itself does not affect the output, but let thems
hopfieldSrc
- The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with so
apbSrc.tar
- Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks wh
gaussianSrc
- The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussi