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: 应用bp神经网络实现了函数逼近,并用matlab程序实现了整个过程-Bp neural network applications realize the function approximation, and the procedures used matlab realize the whole process Platform: |
Size: 1024 |
Author:kingkof |
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Description: 基于RBF神经网络整定的PID控制
径向基函数具有单隐居的三层前馈网络。是—种局部逼近网络，己证明它能以任意精度逼近杠意连续函数。
-RBF neural network based tuning of PID control of radial basis function with the seclusion of the three single-feed-forward network. Yes- different local approximation network, it has been proved to arbitrary precision bars intended continuous function approximation. Platform: |
Size: 1024 |
Author:feiyang |
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Description: 这是介绍神经网络的入门材料，里面包括MATLAB原程序来解决曲线拟合问题和函数的逼近-This is to introduce the neural network entry materials, which include the original MATLAB program to solve the problem of curve fitting and function approximation Platform: |
Size: 202752 |
Author:wlx |
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Description: 以一个BP神经网络进行函数逼近为例,通过COM组件实现MATLAB与VB应用程序的混编接口技术。-A BP neural network function approximation for example, through the COM components with VB realize MATLAB application interface technology mixed. Platform: |
Size: 610304 |
Author:如水 |
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Description: 神经网络bp算法源代码，各个部分的包括函数逼近，函数定义等的功能-Bp neural network algorithm source code, the various parts, including function approximation, function definition function Platform: |
Size: 16384 |
Author:ye |
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Description: 资源分配神经网络解决Mackey-Glass时间序列预测函数逼近问题-Neural network to solve the allocation of resources Mackey-Glass time series prediction function approximation problem Platform: |
Size: 1024 |
Author:吴强 |
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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 |
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Description: 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules. Platform: |
Size: 6144 |
Author:王宁 |
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Description: 模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules. Platform: |
Size: 7168 |
Author:王宁 |
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Description: Matlab粒子群算法优化RBF网络
采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified through particle swarm optimization algorithm for RBF neural network function approximation ability than optimal approach has not been strong Platform: |
Size: 5120 |
Author:陳子力 |
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Description: 基于BP神经网络算法的函数逼近，利用matlab实现BP算法逼近任意非线性函数-BP neural network algorithm based on function approximation, using matlab to achieve BP algorithm approximate any nonlinear function Platform: |
Size: 1024 |
Author:chrossley |
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Description: BP神经网络正弦函数逼近的Matlab实现，送给你，希望能助你一臂之力！-BP neural network Matlab realize sine function approximation, to you, hoping to help you find one! Platform: |
Size: 1024 |
Author:孔庆艳 |
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Description: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design.(This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation.
Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.) Platform: |
Size: 3880960 |
Author:victorbian
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Search - function approximation neural network matlab