XNeuroGene: a system for evolving artificial neural networks

Author

Jacob, C. ; Rehder, J. ; Siemandel, J. ; Friedmann, A.

Author_Institution

Lehrstuhl fur Programmiersprachen, Erlangen-Nurnberg Univ., Germany

fYear

1995

fDate

18-20 Jan 1995

Firstpage

436

Lastpage

439

Abstract

Artificial nervous systems (ANS) controlling action coordination tasks are in general very difficult to design. This is partly due to the great number of parameters that can be optimized: neural net connectivity, neuron functionality, weight settings etc. Another problem is posed by the need to automatically construct neuron clusters (modules) which can subsequently be used as building blocks. We focus on the description of a graphical user interface and management system (XNeuroGene) for NeuroGene which automatically assembles and optimizes artificial nervous systems based on evolutionary/genetic programming methods

Keywords

genetic algorithms; graphical user interfaces; neural nets; software tools; ANS; NeuroGene; XNeuroGene; action coordination task control; artificial nervous systems; artificial neural networks; building blocks; evolutionary/genetic programming methods; graphical user interface; management system; neural net connectivity; neuron clusters; neuron functionality; weight settings; Artificial neural networks; Brain modeling; Design optimization; Genetic programming; Graphical user interfaces; Jacobian matrices; Kernel; Nervous system; Neurons; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 1995. MASCOTS '95., Proceedings of the Third International Workshop on

Conference_Location

Durham, NC

Print_ISBN

0-8186-6902-0

Type

conf

DOI

10.1109/MASCOT.1995.378653

Filename

378653