Low Cost Journal,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939)
INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

Current Issue

For Authors

Archives

Indexing Partner

Research Area

LICENSE

Facts & Figures

Visitor Statistics


Paper Details
Paper Title
A New Technique to solve local Minima problem with large number of hidden nodes on Feed Forward Neural Network
Authors
  Kuldip Vora,  Shruti Yagnik

Abstract
The Back-propagation (BP) algorithm is a well-known representative of all iterative gradient descent algorithms used for supervised learning in neural networks. It is its simplicity that attracts researchers and so that, many improvements and variations of the BP learning algorithm have been reported to beat its limitations such as slow convergence rate and convergence to the local minima. It is extensively used in many applications. In this paper we propose an algorithm that shows that by having structural changes we can still improve and can solve local minima problem with problems having large number of hidden nodes. Results have been shown on some classical problems such as parity problem and also on soil data classification problem

Keywords- Artificial neural network (ANN); Backpropagation algorithm(BPA); Hidden nodes; Target values; Local minima
Publication Details
Unique Identification Number - IJEDR1402111
Page Number(s) - 1978-1981
Pubished in - Volume 2 | Issue 2 | June 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Kuldip Vora,  Shruti Yagnik,   "A New Technique to solve local Minima problem with large number of hidden nodes on Feed Forward Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.1978-1981, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402111.pdf
Share This Article


Article Preview

ISSN Details



DOI Details



Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

IJEDR RMS

Our Social Link

Open Access

This material is Open Knowledge
This material is Open Data
This material is Open Content
© Copyright 2019 IJEDR.ORG All rights reserved