搜索资源列表
SOMclassicexamples
- 经典的SOM人工神经网络例子源码，经测试可用，可作入门学习用-SOM classic examples of artificial neural network source code
NN_RBF
- RBF网络逼近、RBF-建模、RBF网络训练与测试程序-RBF network approximation, RBF-modeling, RBF network training and testing procedures
bk_EBPNN
- 自己改进的一个神经网络算法，并且有对实例的测试-Themselves to improve a neural network algorithm, and testing of the examples
bp2
- bp神经元网络,匹配数据,测试可以运行,大家可以下载交流!-BP shenjinyuanwangluo,pipeishuju ceshikeyunxing
moshishibieyuanma
- 这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ -This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which
BPN
- c语言的bp神经网络源程序，已测试通过，并运用在太阳黑子的预测中-c languages bp neural network source code, have been tested and used in the prediction of Sunspots
ART1
- c语言的自组织神经网络源程序，已测试通过（自适应共振理论模型）-c language, self-organizing neural network source code, have been tested (adaptive resonance theory model)
feedb
- 神经网络控制器设计程序以及性能测试仿真程序
GA-bp
- 基于遗传算法的bp神经网络优化程序，经测试好用，有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value
ann
- 用神经网络对三种信号进行分类,已通过测试，可运行！-to recognize three signals by ann.
bpwangluo
- 测试样本集对每个模式进行加噪处理，噪声值为±0.1。若网络能对加噪模式进行正确分类，则认为该网络已训练完成。-Test sample set for each pattern plus noise processing, the noise value of ± 0.1. If the network can add noise to the model correctly classified, then that the network has completed the training.
NeuralNetwork_BP
- 神经网络用于分类与回归,先产生训练样本与测试样本，每一列为一个样本- neural network for classification and regression, first create the training samples and test samples, each as a sample of
zcxlj
- 一个C++实现的支持向量机神经网络代码，进测试可运行-C++
BP_exe
- 经典的bp神经网络源码，c语言实现。均采用经典函数进行测试。-Classic bp neural network source code, c language. Classic functions are used for testing.
improveBPNet
- 改进的BP算法实现程序，以共轭梯度法实现BP神经网络。测试数据以txt格式给出。-Improved BP algorithm procedures in order to conjugate gradient method to achieve BP neural network. Test data given in txt format.
crc32-jisuanjiaoyanhe-checksum-caculatehedongheodn
- 俺是个菜鸟，这两天用到CRC32方面的东西。于是俺就到Google上google一下。嘿!你别说，网络这东西 还真好！google出成千上万的结果，有讲原理的，有讲算法的，有提供远程序的，还有提供可执行程序 的。于是俺怀着敬畏的心情把这些知识统统收藏。回去弄成程序一执行，嘿，你别说，结果那个错啊！！俺就怀疑是俺的智商问题，原代码没弄对，就去弄几个可执行程序，一测试， 那个结果的品种繁多啊！！！ -I was a rookie, it used two days CRC32
1
- 神经网络方面，给定一组训练样本，抽取部分用于测试，使用训练样本得到一个感知机网络，然后用于测试，最后得到正确率。-Neural network, given a set of training samples, collected some for testing, using the training samples by a perceptron network, and then used for testing, and finally get the correct rate.
NerualNetwork
- 基于VB编写的神经网络计算，含有测试结果-ANN algorithm
estimation-Power System State Estimation using Weight
- 用Matlab写成的状态估计程序，含有IEEE14和IEEE30测试网络的测试运算-State Estimation based on Matlab
neural_network_bp
- BP神经网络的一种回归算法研究，MATLAB实现并已通过系统仿真测试-A return of BP neural network algorithm, MATLAB simulation to achieve and have passed the test