Description: 人工神经网络bp 算法是用于数学建模Alife.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample Patmat.c 基于遗传算法提取基元图形源序 -bp artificial neural network algorithm is used mathematical modeling based on genetic algorithms Alife.c artificial life simulation source code, the input data file GA_nn.c world based on genetic algorithm optimization neural network structure source, the input data file sample Patmat.c based on genetic algorithms yuan-based graphics from the source sequence Platform: |
Size: 467968 |
Author:乐乐 |
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Description: 该程序用遗传算法对人工神经网络进行优化，预测sars的变化趋势-the process of using genetic algorithms for artificial neural network optimization, forecasting the trend EX/108 Platform: |
Size: 49152 |
Author:凯斯 |
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Description: 模式识别常用模型和算法,包括BP神经网络的C语言实现，BP神经网络解决异或问题，HMM的C语言实现-common model and pattern recognition algorithms including Neural Network C language, BP neural network solutions differences or problems, HMM C language, etc.! ! Platform: |
Size: 104448 |
Author:王彬 |
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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 Platform: |
Size: 198656 |
Author:叶建槐 |
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Description: 用神经网络和遗传算法解决tsp问题，先使用神经网络训练出较优个体，然后再进化，可以反其道而行，-using neural networks and genetic algorithms to solve the problem tsp first use of neural network training of better individual, then evolution can be just the opposite. Platform: |
Size: 160768 |
Author:问涛 |
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Description: The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded
neural network algorithms and related models for use in teaching, research and applications development. It contains
many techniques which are not yet available in standard neural network simulation packages-The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages Platform: |
Size: 253952 |
Author:lwd |
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Description: 基于BP神经网络的电机系统的波形控制
阐述了BP神经网络模型和算法，建立了电流型交——交变频同步电动机的波形控制神经网络BP模型，并将计算结果与仿真结果作了比较。-BP neural network-based motor control system waveform expounded BP neural network models and algorithms of current pay-- Cycloconverter Synchronous Motor waveform control neural network model, results of the computation and simulation results were compared. Platform: |
Size: 60416 |
Author:汪顺和 |
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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.
Platform: |
Size: 210944 |
Author:李立 |
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Description: ADIAL Basis Function (RBF) networks were introduced
into the neural network literature by Broomhead and
Lowe [1], which are motivated by observation on the local
response in biologic neurons. Due to their better
approximation capabilities, simpler network structures and
faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs. Platform: |
Size: 114688 |
Author:u123xz |
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Description: 现代优化算法 清华大学出版社
本书详细介绍了遗传算法，神经网络算法，以及模拟退火算法的理论和应用。-Modern optimization algorithms, Tsinghua University Press, this book details the genetic algorithm, neural network algorithms, and simulated annealing algorithm theory and applications. Platform: |
Size: 4206592 |
Author:F |
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Description: 运用神经网络pso的算法进行极值的搜索，并且以函数例子进行了演示。-Use grnn neural network algorithms for data prediction, and the cargo as an example for a demonstration. Platform: |
Size: 2048 |
Author:xcxc |
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Description: 本书介绍了神经网络常用算法、优化算法及其混合编程实现-This book presents a commonly used neural network algorithms, optimization algorithm and its hybrid programming Platform: |
Size: 23363584 |
Author:萱珊 |
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Search - neural network algorithms