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
dbForge Studio for PostgreSQL 2.3.212
HTMLPad 2020 16.2
WeBuilder 2020 16.2
Rapid CSS 2020 16.2
Rapid PHP 2020 16.2
C# HTML to PDF 2020.8.1
Flowrigami 1.0.0.1
Vue Injector 3.3
Spectrum Analyzer pro Live 2019
Devart Excel Add-in for HubSpot 2.1
RentALLScript - Airbnb clone 2.2
SuiteCRM Theme Customization 7.11.6
iScripts NetMenus 3.1
iScripts EasyIndex 2.2
iScripts EasySnaps 2.0
Top Code
Economic dispatch by quadratic programming 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
Deals and Discounts Website Script 1.0.2
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
Data Mining with Neural Nets 
File ID: 65680






Data Mining with Neural Nets 
Download Data Mining with Neural Nets http://code.activestate.com/recipes/578091-simple-tool-for-simulating-classes-using-closures-/Report Error Link
License: Freeware
Downloads: 12
Submit Rating:
Data Mining with Neural Nets  Description
Description: Apply the IAC (interactive-competition-and-activation) model to analyzing a database.

License: Freeware

Related: Algorithms

O/S:Windows

Downloads: 12



More Similar Code

Frequent Itemset search is needed as a part of association mining in Data mining research field of Machine Learning.

This code gives you upto the frequent k-itemset as output.

You may want to change two things in MAIN file as per your need:
First one is 'A': the input matrix with each row as a trnsaction(or sample or example) and each column as one feature (or item).. and
second one the threshold 't'



Data Access with ASP.NET is an easy to learn tutorial which explains you about getting the database records with the help of the ADO objects. In this tutorial the author shows how to create instances for connection and recordset object and...



Data Binding with Windows Forms and ADO.NET is an useful article that cover various topics such as information about the databinding and Windows forms, how to create databound Windows forms and dataset objects, populating combobox with data,...



Two Tier Data Islands with Expanding/Collapsing Child elements is an useful tutorial for the programmers to gather information about two-tier data relationship. The author gives details about the procedure for showing XML documents which have...



he zip file contains the demo shown on August 10, 2006 for the Webinar titled "Data Analysis with MATLAB Products". The demo requires Signal Processing and Statistics Toolboxes. It is recommended that the webinar is viewed prior to...



Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database. They were originally designed to analyse market-basket data, in which the likelihood of items...



The zip file contains the demo shown on August 7, 2007 for the Webinar titled "Data Analysis with Statistics and Curve Fitting Toolboxes". The demo requires Statistics and Curve Fitting Toolboxes. It is recommended that the webinar is...



Algorithm StrAP, is able to adaptively cluster data streams with Affinity Propagation. Several steps are made to build
StrAP. The first one (Weighted AP) extends AP to weighted items with
no loss of generality. The second one...



VDM-RS is a Visual Data Mining system that can be used to explore and classify Remotely Sensed Images.



DBMS for association with membership information (personnal info, membership fees), subscription information for magazines, gift information, tax deduction form (french reu fiscal), mode of paiement, data mining tools, label maker. french/english.

User Review for Data Mining with Neural Nets
- required fields
     

Please enter text on the image