XNeuroGene: a system for evolving artificial neural networks

Jacob C, Rehder J, Siemandel J, Friedmann A (1995)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 1995

Publisher: IEEE

Pages Range: 436-439

Conference Proceedings Title: Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS '95)

Event location: Durham, NC US

ISBN: 0-8186-6902-0

DOI: 10.1109/MASCOT.1995.378653

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

How to cite

APA:

Jacob, C., Rehder, J., Siemandel, J., & Friedmann, A. (1995). XNeuroGene: a system for evolving artificial neural networks. In Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS '95) (pp. 436-439). Durham, NC, US: IEEE.

MLA:

Jacob, Christian, et al. "XNeuroGene: a system for evolving artificial neural networks." Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS '95), Durham, NC IEEE, 1995. 436-439.

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