Modular Object-Oriented Neural Network Simulators and Topology Generalizations
| Type of publication: | Conference paper |
| Citation: | Thimm-94.1 |
| Booktitle: | Proceedings of the International Conference on Artificial Neural Networks (ICANN 94) |
| Volume: | 1 |
| Year: | 1994 |
| Publisher: | Springer-Verlag |
| Location: | Sorrento, Italy |
| Address: | London, UK |
| ISBN: | 3-540-19887-3 |
| Abstract: | 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. |
| Userfields: | dates={26--29 May, 1994}, language={English}, ipdmembership={neuron learning}, ipdhtml={https://www.idiap.ch/nn-papers/simulator/sim.html}, |
| Keywords: | high order neural network, neural network connectivity, neural network simulator, neural network topology, object-oriented, ontogenic neural network, OpenSimulator, Sesame, Sigma-Pi neural network |
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Idiap |
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| Added by: | [UNK] |
| Total mark: | 0 |
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