资源列表
BP-code
- 基于C语言编写的BP 神经网络程序 经过大量样本训练满足 设计要求！-C language based on BP neural network of a large number of samples after a training program to meet the design requirements!
C45Rule-PANE
- Descr iption: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagn
code_xianxing
- 线性神经网络的实现，包括13个M文件，可以用来学习，非常实用-Linear neural network implementations, including 13 M-file can be used to learn, very practical
TSPinmatlab
- 用遗传算法解决城市的访问次序，可使其 旅行路线的总长度最短 可从该程序借鉴到其他应用 -using genetic algorithms to solve the city for the visit, travel routes can make the total length of the shortest can draw from the procedures of other applications
huiliemie
- 大学数值分析算法，包括回归分析和概率统计，旋转机械二维全息谱计算的实用例程。- University of numerical analysis algorithms, Including regression analysis and probability and statistics, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
模糊神经网络解耦MATLAB程序
- 这个儿模糊神经网络解耦MATLAB程序对一些人工智能爱好者来说还是比较有用的.-the abuse FNN decoupling MATLAB procedures on some artificial intelligence lovers or more useful.
neuralnetwork.tar
- A complete implementation of neural network with different example of training set generation. http://takinginitiative.wordpress.com/2008/04/23/basic-neural-network-tutorial-c-implementation-and-source-code/
eg9-shuzishibie
- 《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybo
missionariesProblem
- 这是人工智能的一个经典算法，运用深度优先的策略，拥有详细的解释-This is a classic artificial intelligence algorithm, using depth-first strategy, with detailed explanations
BOLTZMAN
- 关于BOLTZMAN神经网络算法源代码，内含编译后的EXE程序
da411a10465c
- 建立BP，hopfield，rbf神经网络-Establish BP, hopfield, rbf neural network
bpexamples
- 使用MATLAB6.5实现的自适应学习速率反向传播网络-Matlab6.5 achieved using adaptive learning rate back-propagation network