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
PHP Support Desk 2.0
SentiVeillance SDK Trial 6.0.173737
GetOrgChart 2.4.3
Devart SSIS Integration Database Bundle 1.6
SSIS Integration Universal Bundle 1.6
Best Featured Online Classified Ads Solution 2.0
Magento 2 Frontend Builder 2.0
Devart SSIS DataFlow Components 1.6
Bytescout PDF Viewer SDK 8.7.0.2980
Readymade Job Site Script 2.0.1
SentiMask SDK Trial 1.0
Bytescout Spreadsheet SDK 2.9.0.1677
Taxi Booking Solution 1.0
Realtor Script - Vacation Rental Script 3.1
Chartered Accountant Listing Script 2.3
Top Code
Restaurant Table Booking System 2.0
MATLAB Support Package for Arduino (aka ArduinoIO Package) 1.0
Space Impact 0.4.15
Defect Tracking System (PHP, MySQL) 1.0
MLM Software ONE 1.5.46
Billing System 1.0.1
S-Bug Tracking System 0.1.5
MLM Binary Plan Script – i-Netsolution 1.0.2
Cuckoo Search (CS) Algorithm 1.0
DevGuy Programmers' Canvas Toolkit 1.9.1.0.4
Ticket Booking System 1.0
Bytescout PDF To HTML SDK 8.7.0.2980
Binary(doc,xls,ppt) to OpenXMLTranslator 649
MLM Software 1.0.2
Logo Store Script and Complete Website
Top Rated
Indiegogo Clone 3.0
PHP Image Resize Script 1.0
Jango Clone Script 1.0
Best Spotify Clone 1.0
Get Random Record Based on Weight 1.0.0
Travel Portal Script 9.29
Magento Product Designer 1.0
OFOS - Just Eat Clone Script 1.0
PrestaShop Upload Images Module 1.2.1
Trading Software 1.2.4
Deals and Discounts Website Script 1.0.2
Readymade MLM Products 2.01
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Neuro - Neural Network Extension 0.4.1
File ID: 106234






Neuro - Neural Network Extension 0.4.1
Download Neuro - Neural Network Extension 0.4.1http://rubyforge.orgReport Error Link
License: Freeware
File Size: 20.5 KB
Downloads: 110
Submit Rating:
Neuro - Neural Network Extension 0.4.1 Description
Description: A Ruby extension that provides a 2-Layer Back Propagation Neural Network, which can be used to categorize datasets of arbitrary size. The network can be easily (re-)stored to/from the hard disk.

License: Freeware

Related: arbitrary, datasets, Network, Easily, tofrom, restored, categorize, Layer, propagation, Neural, Extension

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

File Size: 20.5 KB

Downloads: 110



More Similar Code

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



The form of a single layer feed forward neural network lends itself to finding the gradient. This is useful when the network is used for surrogate optimization or other algorithms that use gradients. Requires creating a file by modifying a NN...



this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB



Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.
Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.

Marcelo Augusto Costa Fernandes
DCA - CT - UFRN



Generic Neural Network. It's a class to build almost any type of Neural Networks, from a simple Perceptron to a SOM, supporting recurrence.



SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.

References:
[1] Kasuba, T. (1993). "Simplified fuzzy...



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...



Simple Matlab Code for Neural Network Hebb Learning Rule.
It is good for NN beginners students. It can be applied for simple tasks e.g. Logic "and", "or", "not" and simple images classification.



We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization during face recognition. Feature extraction is performed on...



Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).

This allows you to use a neural network model without relying on the neural network toolbox.

Note...

User Review for Neuro - Neural Network Extension
- required fields
     

Please enter text on the image