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som(Jal.You)
- SOM神经网络(自组织特征映射神经网络)是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数,其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接,这样每个输出层节点均对应于一个连接权矢量。 自组织特征映射的基本原理是,当某类模式输入时,其输出层某一节点得到最大刺激而获胜,获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作,获胜节点
fuzzy
- matlab 源码 模糊函数,模糊神经网络 编写,训练-matlab source fuzzy function, fuzzy neural network preparation, training
1
- 人工神经网络\神经网络的程序和训练数据 解压缩后可以运行的 -Artificial Neural Networks \ neural network procedures and training data extracted can run
xiaoboshenjing
- 小波神经网络的源程序,稍加扩展可用于多样本数的的训练-Wavelet neural network of the source, this little extension can be used for various numbers of training
Face_Angle_Neural_net
- 通过Matlab编程,以建立BP神经网络对人脸进行识别为例子,说明对BP神经网络的训练和模拟的过程。-Through Matlab programming to create BP neural network to recognize human faces as examples of the BP neural network training and simulation process.
BPN
- BP神经网络算法分析,对其算法的具体分析(初始、训练)都详细的分析-BP Neural Network Algorithm
net
- 模糊神经网络的权值训练和模型建立的确定关系比较-The weights of fuzzy neural network model training and the Relations between the determination of
Recog
- 用于数字字符识别。包括对含有数字的图片进行二值化,去噪,分隔字符,归一化处理,训练神经网络并识别。-For digital character recognition. Including the number of pictures that contain binary, denoising, separation characters, normalization, and identification of training neural networks.
fdv
- Matlab编写的人脸定位和程序。使用神经网络进行训练。-Written in Matlab face location and procedures. Using the neural network training.
BP
- 这是一个用动量法和自适应学习速率法改良过后的BP神经网络。编绎环境为VC9.0。当网络训练完成后。能查看误差曲线图。-This is a method with momentum and adaptive learning rate method, after the BP neural network improved. Code Interpretation of the environment VC9.0. When the network training is completed. C
trn_3in
- 模糊神经网络 预测 软计算 T-S模糊模型 训练-Fuzzy neural network training in soft computing TS fuzzy model
ctt
- 销售预测系统,可以根据历史销售数据对未来的销售量进行有效预测,采用BP神经网络对预测模型进行训练,可以达到不错效果 -Sales forecasting system, can be based on historical sales data on sales to predict the future, using BP neural network prediction model for training, can achieve good Xiao Guo
GeneticWavelet
- 提出了一种基于遗传算法和小波神经网络的 PI 参数整定方法。首先 ,利用具有自然进化的遗传算法对小波神经网络的初始权值进行优化训练 ,解决了控制器网络初始权系数对控制效果产生的影响 其次 ,利用小波神经网络对PID参数进行在线调节 最后将此算法运用到电机控制系统的 P I D参数寻优中。-A new-type controller based on genetic algorithm andwavelet neural net work was presented.The genetic alg
bp--shenjingwangluo
- BP 神经网络用于预测 使用平台 - Matlab7.0数据为1986年到2000年的交通量 ,网络为3输入,1输出 15组数据,其中9组为正常训练数据,3组为变量数据,3组为测试数据-BP neural network to predict the use of platforms- Matlab7.0 data for 1986 to 2000, traffic volume, network, 3 inputs, 1 output 15 sets of data, of which
gabp
- 遗传算法优化神经网络:使用遗传算法对BP网络权值阈值进行优化,再用BP算法训练网络-Genetic algorithm neural networks: Using genetic algorithm of BP network weights to optimize the threshold value, then BP algorithm training network
fruit
- BP神经网络算法实现水果分类,学习训练然后识别,提供例子-BP neural network algorithm fruit classification
e-bmp
- 易语言验证码识别,基于神经网络,可自行训练!识别验证码必备!-CAPTCHA easy language, based on neural networks, self-training! Identification verification code necessary!
xiaobo
- 建立小波神经网络负荷预测模型,并对小波神经网络的节点(输入层、中间层、输出层)进行选择,并选用合适的小波神经网络的训练函数,提高收敛速度和负荷预测精度。-The establishment of wavelet neural network load forecasting model, and wavelet neural network nodes (input layer, middle layer, output layer) to select and choose the appro
BP
- 建立BP神经网络负荷预测模型,并对BP神经网络的节点(输入层、中间层、输出层)进行选择,并选用合适的小波神经网络的训练函数,提高收敛速度和负荷预测精度。-The establishment of BP neural network load forecasting model, and the BP neural network nodes (input layer, middle layer, output layer) to select and choose the appropriate
ocr
- 神经网络的训练和测试程序,使用python开发,是其中一种神经网络-Neural network training and testing procedures, the use of python development, is one of the neural network