2000 - Cooperative Learning in Neural Networks using Particle Swarm Optimizers
Edit Page
Report
Scan day: 07 February 2014 UTC
15
Virus safety - good
Description: A paper by Frans van den Bergh and Andries P. Engelbrecht, South Africa. The interesting point is that they split the input vectors to several sub-vectors, each which is optimized cooperatively in its own swarm.
CiteSeerX — Cooperative Learning in Neural Networks using Particle Swarm Optimizers Cooperative Learning in Neural Networks using Particle Swarm Optimizers (2000) Other Repositories/Bibliography by Frans van den Bergh , Andries P. Engelbrecht , A. P. Engelbrecht
Size: 264 chars
Contact Information
Email: —
Phone&Fax: —
Address: —
Extended: —
WEBSITE Info
| Page title: | CiteSeerX — Cooperative Learning in Neural Networks using Particle Swarm Optimizers |
| Keywords: | CiteSeerX, Frans van den Bergh, Andries P. Engelbrecht, A. P. Engelbrecht |
| Description: | CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This paper presents a method to employ particle swarms optimizers in a cooperative configuration. This is achieved by splitting the input vector into several sub-vectors, each which is optimized cooperatively in its own swarm. The application of this technique to neural network training is investigated, with promising results. Keywords: Particle swarms, cooperative learning, optimization Computing Review Categories: G.1.6, I.2.6 1 Introduction Particle Swarm Optimizers (PSOs) have previously been used to train neural networks[6, 10] and generally met with success. The advantage of the PSO over many of the other optimization algorithms is its relative simplicity. This paper aims to improve the performance of the basic PSO by partitioning the input vector into several subvectors. Each sub-vector is then allocated its own swarm. In Section 2, a brief overview of PSOs is presented, followed by a discussion of how cooperative behavior can be implemented through a splitting technique i... |
| IP-address: | 130.203.136.95 |
WHOIS Info
| NS | Name Servers: NS1.PSU.EDU 128.118.25.6 NS2.PSU.EDU 128.118.70.6 |
| WHOIS | |
| Date | activated: 14-Jul-1986 last updated: 22-May-2013 expires: 31-Jul-2014 |