Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
The C# OCR Library 2020.11
SentiVeillance SDK Trial 7.3.2020.11.30
VaxVoIP WebPhone SDK 4.0.6.0
SentiMask SDK Trial 2.0_193121
C# QR Code Generator 2020.12
How to Read Text from an Image in C# 2020.12
The .Net PDF Library 2020.12.3
fsMediaLibrary.NET 2019.11.0
Entity Developer 6.9.1112
OrgChart JS 7.5.40
LinqConnect 4.9.2096
SSIS Data Flow Components 1.15
IP2Location Geolocation Database Oct.2020
Luxand FaceSDK 7.2
dbForge Data Compare for PostgreSQL 3.3.6
Top Code
IcrediBB Bulletin Board System 1.0
phpXplorer 0.9.12
NES Rom Maker 1.0
Ready Made MLM Script 1.0.4
Circle Fit (Taubin method) 1.0
viPanel Package 1.1
DBISAM ADO.Net Provider 2.0.0
invjor 1.0
Azizi search engine script PHP 4.1.10
jCoder - Portable Java Coding 1.0
Structure Learning Package for Bayes Net Toolbox 1.0
Kalman filter(fixed point version) 1.0
MATLAB Contest - Crossword Puzzle 1.0
Configurable Math Library 1.0.3
Windowed mutual information (migram) 1.0
Top Rated
Uber Clone with Safety Measure Addons 2.0
Answers phpSoftPro 3.12
phpEnter 5.1.
Quick Maps For Dynamics CRM 3.1
Single Leg MLM 1.2.1
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Apphitect Airbnb Clone Script 1.0
Deals and Discounts Website Script 1.0.2
Pro MLM 1
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
ICPennyBid Penny Auction Script 4.0
Complex Optimization of a Recurrent Neural Network 1.0
File ID: 79593






Complex Optimization of a Recurrent Neural Network 1.0
Download Complex Optimization of a Recurrent Neural Network 1.0http://www.mathworks.comReport Error Link
License: Freeware
File Size: 256.0 KB
Downloads: 175
Submit Rating:
Complex Optimization of a Recurrent Neural Network 1.0 Description
Description: This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter such as a recurrent neural network.

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter such as a recurrent neural network.

The example given is the modelling of a load-sensing hydraulic pump. The model output is the pump flow, as a response to inputs of pump pressure and the pressure in the control piston. Real experimental data is included.

For further details, refer to:
T. Wiens, R. Burton, G. Schoenau, D. Bitner, "Recursive Generalized Neural Networks (RGNN) for the Modeling of a Load Sensing Pump," Bath Symposium on Power Transmission and Motion Control, Sept 2008.
http://homepage.usask.ca/~tkw954/
http://blog.nutaksas.com

Note that this package requires the "Complex Method of Optimization" package in your path, available from http://www.mathworks.com/matlabcentral/fil...objectType=FILE

License: Freeware

Related: burton, wiens, Refer, schoenau, bitner, generalized, quotrecursive, Details, Pressure, inputs, Control, piston, includedfor, experimental, Neural, networks, quotcomplex, requires

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 256.0 KB

Downloads: 175



More Similar Code

This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn. The good classification performance can be obtained for a certain class of data distributions. Other classifiers must be used in the cases where the PPNN classifiers cannot get good performances.



The Subneuron is a project for a set of c# classes for develop and simulate a Artificial Neural Network (ANN).



This color reduction software is based on a new neural network classifier (SGONG). The SGONG network classifier is suitable for color quantization applications, since each image pixel is considered as multidimensional vector, depending on the...



Optimized Step Size Random Search(OSSRS) A random search method[1] for the optimization of a function of n variables. Can be used as a start-up before using a determistic method like Simplex method of Nelder and Mead to arrive at the region of the...



The Generic Analyzer is a framework in Java that is designed to allow users to build, quickly and easily, compilers and interpreters without the need to implement all the complex steps of a translator.



Implements the Complex Method of Constrained Optimization, as proposed by Box (1965), improved by Guin (1968) and Krus (1992), and following the method in Andresson (2001). This is capable of optimizing a "black-box" system with few...



This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.

Note: You will need to have the following products installed in...



-Compatible with pre-2010 vers. of Matlab and Neural network toolbox
-Trains a perceptron for the spring and one for the damper.
-Runs a simulation with forcing function and noise.
-If you don't have the toolbox, you can still use...



Demonstration of finding the minimum of a noisy function using gradient-based optimization.
This model was developed for use in teaching optimization in graduate engineering courses. It demonstrates one approach for attempting to find the...



RubyFann Bindings to use FANN (Fast Artificial Neural Network) from within ruby/rails environment. Requires: Ruby 1.8.6 or greater. gnu make tools or equiv for native code in ext To install: sudo gem install ruby-fann

User Review for Complex Optimization of a Recurrent Neural Network
- required fields
     

Please enter text on the image