Cart (Loading....) | Create Account
Close category search window
 

An artificial neural network that models human decision making

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chew LIm Tan ; Nat. Univ. of Singapore, Singapore ; Tong Seng Quah ; Hoon Heng Teh

The Neural Logic Network (Neulonet) system models a wide range of human decision making behaviors by combining the strengths of rule based expert systems and neural networks. Neulonet differs from other neural networks by having an ordered pair of numbers associated with each node and connection, as shown. Let Q be the output node and P1, P, …, PN, be input nodes. Also, let values associated with the node Pi, be denoted by (ai, bi,), and the weight for the connection from Pi, to Q be (αii,). Each node's ordered pair takes one of three values-(1,0) for true, (0,1) for false, or (0,0) for “don't know”; (1,1) is undefined

Published in:

Computer  (Volume:29 ,  Issue: 3 )

Date of Publication:

Mar 1996

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.