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Description: 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 neural networks:
1) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)
3) Radial Basis Functions (RBF) Networks
4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)
5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm
A simulink example regarding the approximation of a scalar nonlinear function of 4 variables -Adaptive (Adaptive) The neural network source 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 five kinds of neural networks : a) Adaptive Linear Network (ADALINE) 2) 102206 with Multilayer Layer Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks, 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Dynamic Networks with the Cell Structure (DCS) algorithm A Simulink example regarding the approximation of a scalar nonlinear function of four variables
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Size: 200530 |
Author: 周志连 |
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Description: 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) Adaptive Linear Network (ADALINE)
2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA)
3) Radial Basis Functions (RBF) Networks
4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN)
5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm
A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included-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 five kinds of neural networks : a) Adaptive Linear Network (ADALINE) 2) Multilayer Layer 102206 with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks, 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) and RBF Networks with Piecewise Linear Dynamic Cell Structure (DCS) algorithm A Simulink example regarding the approximation of a scalar nonlinear function of four variables is included
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Size: 198792 |
Author: 叶建槐 |
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Description: Backpropagation / ART1 / Kohonen / Radial Basis-Backpropagation / ART1 / Kohonen / Radial B Fellowships
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Size: 146590 |
Author: jack |
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Description: 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 while the third can be generalized to multi-layer perceptrons.-Single-layer neural networks can be train ed using various learning algorithms. The best - known algorithms are the Adaline. 102206 and Backpropagation algorithms fo r supervised learning. The first two are specific ic to single-layer neural networks while the th ird can be generalized to multi-layer perceptr ons.
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Author: 陈伟 |
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Description: 附加了动量项BP神经网络-Additional items of Momentum BP neural network
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Size: 31004 |
Author: 高山 |
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Description: 以类库的形式实现了BP神经网络算法。可从该类基础上派生新类，实现各类应用
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Size: 5460 |
Author: 唐述 |
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Description: bp, backpropagation 神经网络 简单认字 错误开发实例。
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Size: 79845 |
Author: ky lee |
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Description: Backpropagation Artificial Neural Network in C
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Size: 98332 |
Author: 杨诚 |
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Description: 《Neural Networks for Text-to-Speech Phoneme Recognition》This paper presents two different artificial neural network approaches for phoneme recognition for text-to-speech applications: Staged Backpropagation Neural Networks and Self-Organizing Maps.
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Size: 723671 |
Author: 付诗 |
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Description: 利用随机反向传播算法及学习率为0.1和sigmoid函数，构造singmoid网络，训练它用来将模式分别分到w1和w2两个类中。
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Size: 1887 |
Author: 516736966@qq.com |
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Description: 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
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Size: 8192 |
Author: 陈雷 |
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Description: 我做的一个用matlab程序编写的BP算法，是是我毕设的一部分，程序运行绝对没有问题，欢迎大家指正。-I do a Matlab programming with the back-propagation algorithm, is part of a complete, running absolutely no problem, we are happy to correct.
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Size: 3072 |
Author: FX |
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Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
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Size: 5120 |
Author: 龙海侠 |
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Description: back propagation algorithm
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Size: 140288 |
Author: siyangtao |
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Description: BAckpropagation source code
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Size: 292864 |
Author: anies |
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Description: natural backpropagation
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Size: 1024 |
Author: vanilson |
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Description: The aim of this project is the design and implementation of a system simulating a NN in the Spartan-3 Starter Board of Xilinx. The NN will be a 3-layer feedforward backpropagation.- The aim of this project is the design and implementation of a system simulating a NN in the Spartan-3 Starter Board of Xilinx. The NN will be a 3-layer feedforward backpropagation.
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Size: 1479680 |
Author: duzos |
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Description: codigo de backpropagation en c-codigo de backpropagation en c++
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Size: 3072 |
Author: Cristian |
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Description: backpropagation algotithm
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Size: 1024 |
Author: patrese123
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