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自适应(Adaptive)神经网络源程序
- 自适应(Adaptive)神经网络源程序 The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of
Adaptive
- The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implement basically these 5 kinds of neural networks: 1) A
pittnet
- Backpropagation / ART1 / Kohonen / Radial Basis-Backpropagation / ART1 / Kohonen / Radial B Fellowships
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
backpropagation
- have fun with it, you can enjoy it and change everything you want, it s aal your now!!!!! please contact me if you want ask about it by: fauhoar@ohifaoi.com
banana
- banana Implementacao da rede MLP canonica (backpropagation com gradiente descendente)-banana Implementacao da rede MLP canonica (backpropagation com gradiente descendente)
backpropagation
- backpropagation code in matlab
adaline
- The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of
307---Backpropagation-Neural-Network-v1.0
- 307 - Backpropagation Neural Network v1.0 - Namira
With-2-Hidden-Layer-Backpropagation-Using-Matlab.
- With 2 Hidden Layer Backpropagation Using Matlab
DETAIL-OF-BACKPROPAGATION
- DETAILS OF BACKPROPAGATION
BAckpropagation
- backpropagation alogorithmnto implement the neural netwrk computation for variable features n hidden layers
Backpropagation-to-solve-the-XNOR
- this to solve the problem of xnor using backpropagation algorithm-this is to solve the problem of xnor using backpropagation algorithm
backpropagation-forcasting
- this simple implementation of forecasting using neural network backpropagation-this is simple implementation of forecasting using neural network backpropagation
Backpropagation--5
- Backpropagation, an abbreviation for backward propagation of errors , is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent. The method calculates the gradient of a loss fun
BackPropagation
- 简单的BP神经网络小程序，识别4*4像素大小的A,I,O字符-This is a simple program of backpropagation recognizing the labels of A,I and O.
backpropagation
- for backpropagation learning
backpropagation
- backpropagation algorithm for train nn but it have some problem. its need to redo
Projeto backpropagation
- backpropagation algotithm