A Biologically-Inspired Improved MAXNET

Orly Yadid-Pecht; Moshe Gur

doi:10.1109/72.377981

A Biologically-Inspired Improved MAXNET

Orly Yadid-Pecht, Moshe Gur

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.

Original language	English
Pages (from-to)	757-759
Number of pages	3
Journal	IEEE Transactions on Neural Networks
Volume	6
Issue number	3
DOIs	https://doi.org/10.1109/72.377981
State	Published - 1 Jan 1995
Externally published	Yes

ASJC Scopus subject areas

Software
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence

Access to Document

10.1109/72.377981

Cite this

@article{d46ffe63879b4fd4bd467258f47248d5,

title = "A Biologically-Inspired Improved MAXNET",

abstract = "A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.",

author = "Orly Yadid-Pecht and Moshe Gur",

year = "1995",

month = jan,

day = "1",

doi = "10.1109/72.377981",

language = "English",

volume = "6",

pages = "757--759",

journal = "IEEE Transactions on Neural Networks",

issn = "1045-9227",

publisher = "Institute of Electrical and Electronics Engineers",

number = "3",

}

TY - JOUR

T1 - A Biologically-Inspired Improved MAXNET

AU - Yadid-Pecht, Orly

AU - Gur, Moshe

PY - 1995/1/1

Y1 - 1995/1/1

N2 - A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.

AB - A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.

UR - http://www.scopus.com/inward/record.url?scp=0029308755&partnerID=8YFLogxK

U2 - 10.1109/72.377981

DO - 10.1109/72.377981

M3 - Article

C2 - 18263360

AN - SCOPUS:0029308755

SN - 1045-9227

VL - 6

SP - 757

EP - 759

JO - IEEE Transactions on Neural Networks

JF - IEEE Transactions on Neural Networks

IS - 3

ER -

A Biologically-Inspired Improved MAXNET

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this