Search - neuron network

[Other resource] chap4_1

Description: 本程序是对基于单神经元网络的PID智能控制来进行仿真！-the procedure is based on single neuron network of intelligent PID control for simulation!
Platform: | Size: 1098 | Author: 张流云 | Hits:

[Other resource] NoiseNeuralNetwork

Description: 单输出的神经元网络拟合有噪声干扰的函数：y=x1/(1+x1) + x2/(1+x2) + x3/(1+x3) + x4/(1+x4)-single output neuron network fitting a noise function : y = x / (1 x1) x2 / (1 x2) x3 / (1 x3) x / (1 x4)
Platform: | Size: 6666 | Author: 周善人 | Hits:

[Communication] elm_train1

Description: matlab 中的neuron network的classifier更新，名为elm（extrem learning machine）-Matlab of the classifier Neurology network update called elm (EXTREM learning machine)
Platform: | Size: 2306 | Author: newuser | Hits:

[Other resource] towBPmatlab

Description: 比较两个神经原网络的效率，不错的程序，有利于学习编程-compare two neuron network efficiency, good procedures and conducive to learning program
Platform: | Size: 1083 | Author: 王汉卿 | Hits:

[Other resource] chap6_2

Description: 单神经元网络PID自动整定MATLAB程序-single neuron network automatic PID tuning MATLAB
Platform: | Size: 1272 | Author: 张俊 | Hits:

[AI-NN-PR] chap4_1

Description: 本程序是对基于单神经元网络的PID智能控制来进行仿真！-the procedure is based on single neuron network of intelligent PID control for simulation!
Platform: | Size: 1024 | Author: 张流云 | Hits:

[AI-NN-PR] vc-LMS

Description: vc＋＋实现神经网络的LMS算法，并可以自动选择神经元个数-vc++ LMS neural network algorithm, and can automatically choose Neuron Number
Platform: | Size: 222208 | Author: WW | Hits:

[matlab] kongming

Description: 神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx-neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle layer neurons in the transfer function for the output layer tansig% have eight nodes, its neuron transfer function for the training function logsig% used traingdx
Platform: | Size: 1024 | Author: 陈胜 | Hits:

[AI-NN-PR] matlab_5

Description: 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-Based on RBF Neural Network Identification of single neuron PID model reference adaptive control
Platform: | Size: 1024 | Author: feiyang | Hits:

[matlab] 11

Description: 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input vector to solve more complex classification problems, based on the perceptron neural network to deal with complex classification problems, numerical analysis matlab-GUI, using BP network function source approximation, self-organizing feature map application
Platform: | Size: 41984 | Author: stephen | Hits:

[Windows Develop] NeuroSolutions

Description: This is Neuron Network Solution E-Book it s explain about how Neuron Network work and have example
Platform: | Size: 3392512 | Author: artchan | Hits:

[AI-NN-PR] chaos_neural_networks

Description: 混沌神经网络模型，包括二个和三个混沌神经元组成的网络-Chaotic neural network model, including two and three chaotic neuron network
Platform: | Size: 2048 | Author: 廖洪运 | Hits:

[Windows Develop] neural

Description: This program simulates a 3 or 4-layer Neural Network, and can be used to simulate an arbitrary, complex, or non-linear function that would be difficult to implement by traditional methods. The Back Propagation method is used "teach" the network the desired function. Adjacent layers of the net are fully interconnected that is, every neuron in layer 1 is connected to every neuron in layer 2, and every neuron in layer 2 is connected to every neuron in layer 3 (1->2, 2->3). With a 4-layer net, there is further interconnection: 1->2, 1->3, 2->3, 2->4, 3->4. - This program simulates a 3 or 4-layer Neural Network, and can be used to simulate an arbitrary, complex, or non-linear function that would be difficult to implement by traditional methods. The Back Propagation method is used "teach" the network the desired function. Adjacent layers of the net are fully interconnected that is, every neuron in layer 1 is connected to every neuron in layer 2, and every neuron in layer 2 is connected to every neuron in layer 3 (1->2, 2->3). With a 4-layer net, there is further interconnection: 1->2, 1->3, 2->3, 2->4, 3->4.
Platform: | Size: 49152 | Author: cso | Hits:

[VHDL-FPGA-Verilog] FPGAANN

Description: FPGA implementations neuron network
Platform: | Size: 3888128 | Author: phongduong | Hits:

[matlab] nnet

Description: 神经网络在matlab中的使用说明书也是新手上手的好东西-Neuron Network Architectures
Platform: | Size: 4379648 | Author: lfc | Hits:

[AI-NN-PR] new1_1

Description: 混沌神经网络的单神经元模型，输出李雅普诺夫指数和a的图谱(Chaotic neuron model. Output Lyapunov as y, a as x.)
Platform: | Size: 1024 | Author: gangan09 | Hits:

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