Modular Object-Oriented Neural Network Simulators and Topology Generalizations

A growing number of neural networks are based on topologies that deviate from the standard fixed first order fully interlayer connected ones. Although there currently exist a variety of neural network simulators, few are flexible enough to facilitate substantial topology alterations. Some novel modular object-oriented neural network simulators promise modifications and extensions to be made with minimal effort. Two of these simulators are described and compared: OpenSimulator (version 3.1) and Sesame (version 4.5). An extension of these simulators to high-order and ontogenic neural networks is outlined.


Editor(s):
Marinaro, Maria
Morasso, Pietro G.
Published in:
Proceedings of the International Conference on Artificial Neural Networks (ICANN 94), 1, 747-750
Presented at:
Proceedings of the International Conference on Artificial Neural Networks (ICANN 94), Sorrento, Italy
Year:
1994
Publisher:
London, UK, Springer-Verlag
Keywords:
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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