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.
Keywords: neural network simulator ; neuron ; high order neural network ; Sigma-Pi neural network ; Sesame ; object-oriented ; neural network connectivity ; learning ; neural network topology ; OpenSimulator ; ontogenic neural network
Record created on 2006-03-10, modified on 2016-08-08