The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 89-268
Full Name: Luis Fernando Mingo Lopez
Position: Professor
Age: ON
Sex: Male
Address: Escuela de Informatica - Universidad Politecnica de Madrid - Crta. de Valencia km. 7
Country: SPAIN
Tel: 913367884
Tel prefix: 34
Fax: 913367520
E-mail address: lfmingo@eui.upm.es
Other E-mails: lfmingo@gmail.com
Title of the Paper: Particle swarm optimization models applied to neural networks using the R language
Authors as they appear in the Paper: Nuria Gomez, Luis F Mingo, Jesus Bobadilla, Francisco Serradilla, Jose A Calvo
Email addresses of all the authors: ngomez@eui.upm.es, lfmingo@eui.upm.es, jbobi@eui.upm.es, fserra@eui.upm.es, jacalvo@fi.upm.es
Number of paper pages: 11
Abstract: There exists a clear difference between cooperative and competitive strategies. The former ones are based on the swarm colonies, in which all individuals share its knowledge about the goal in order to pass such information to other individuals to get optimum solution. The latter ones are based on genetic models, that is, individuals can die and new individuals are created combining information of alive one; or are based on molecular/celular behaviour passing information from one structure to another. A Grammatical Swarm model is applied to obtain the Neural Network topology of a given problem, training the net with a Particle Swarm algorithm in R. This paper just shows some ideas in order to obtain an automatic way to define the most suitable neural network topology for a given patter set. High dimension problem is also mentioned when dealing with the particle swarm algorithm.
Keywords: Social intelligence, Neural networks, Grammatical swarm, Particle swarm optimization.
EXTENSION of the file: .pdf
Special (Invited) Session: Grammatical Swarm and Particle Swarm Optimization models applied to Neural Network learning and topology definition
Organizer of the Session: 697-497
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