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: Developing Models from Experimental Data using System Identification Toolbox-1. webinar_walk_through.m: contains all the linear and nonlinear estimation examples presented during the webinar.
2. Data files and Simulink models: process_data.mat, ExampleModel.mdl, Friction_Model.mdl. Any other data files used in the presentation already ship with the toolbox (ver 7.0).
Products used:
- You basically need only System Identification Toolbox (SITB) to try out most examples.
- To use Simulink blocks, you would, of course, need Simulink.
- Control System Toolbox is used at one place to show how estimated models can be converted into LTI objects (SS, TF etc)
- Optimization Toolbox will be used if available for grey box estimation. If not, SITB s built-in optimizers will be used automatically.
- Other products mentioned: Neural Network Toolbox, Model Predictive Control Toolbox and Robust Control Toolbox.
Platform: |
Size: 34816 |
Author:陈翼男 |
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Description: pso粒子群算法
他是一个实现Common，Clerc 1“的PSO工具箱
Trelea类型以及跟踪更改的alpha版本环境。 它可以搜索最小，最大或“距离”
用户开发成本函数。 很容易使用和黑客
相当好的文档（类型帮助任何功能和
它应该告诉你你需要什么），并将利用
矢量化成本函数。 它使用与Matlab类似的语法
优化工具箱。 包括静态和动态的套件测试功能。 它还包括一个专用的基于PSO的神经元网络教练与Mathwork的神经网络工具箱一起使用。-his is a PSO toolbox implementing Common, Clerc 1 , and
Trelea types along with an alpha version of tracking changing
environments. It can search for min, max, or distance of
user developed cost function. Very easy to use and hack with
reasonably good documentation (type help for any function and
it should tell you what you need) and will take advantage of
vectorized cost functions. It uses similar syntax to Matlab s
optimization toolbox. Includes a suite of static and dynamic
test functions. It also includes a dedicated PSO based neural
network trainer for use with Mathwork s neural network toolbox. Platform: |
Size: 738304 |
Author:mr.chen |
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Search - Neural network toolbox for use with MATLAB