A framework for intelligent multi agent system based neural network classification model
Intelligent multi agent systems have great potentials to use in different purposes and research areas. One of the important issues to apply intelligent multi agent systems in real world and virtual environment is to develop a framework that support machine learning model to reflect the whole compl...
Main Authors: | Asadi, Roya, Mustapha, Norwati, Sulaiman, Md. Nasir |
---|---|
Format: | Article |
Language: | English |
Published: |
2009
|
Online Access: | http://psasir.upm.edu.my/id/eprint/12696/1/A%20framework%20for%20intelligent%20multi%20agent%20system%20based%20neural%20network%20classification%20model.pdf |
Similar Items
-
New supervised multi layer feed forward neural network model to accelarate classification with high accuracy.
by: Asadi, Roya, et al.
Published: (2009) -
Training process reduction based on potential weights linear analysis to accelerate back propagation network.
by: Asadi, Roya, et al.
Published: (2009) -
Artificial Neural Network Modelling of Biogas Production Processes
by: Abdul Sahli, Fakharudin, et al.
Published: (2018) -
Modelling Of Biogas Production From Banana Stem Waste With Neural Networks Learning Strategies To Optimse The Production
by: Abdul Sahli, Fakharudin, et al.
Published: (2017) -
Naive Bayesian decision model for the interoperability of heterogeneous systems in an intelligent building environment
by: Shahi, Ahmad, et al.
Published: (2015)