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RNS: Recurrent Network Simulator

RNS (Recurrent Network Simulator) is a simulator for recurrent neural networks. Regular neural networks are also supported. The program uses a derivative of the back-propagation algorithm, but also includes other (not that well tested) algorithms. Features include - freely choosable connections, no restrictions besides memory or CPU constraints - delayed links for recurrent networks - fixed values or thresholds can be specified for weights - (recurrent) back-propagation, Hebb, differential Hebb, simulated annealing and more - patterns can be specified with bits, floats, characters, numbers, and random bit patterns with Hamming distances can be chosen for you - user definable error functions - output results can be used without modification as input
   as the files rns-1.6b.tar.gz and

Version: 1.6b (5-MAR-94) Requires: C Ports: IBM PCs and Sun Workstations (SunOS 4.x) Copying: Public Domain CD-ROM: Prime Time Freeware for AI, Issue 1-1 Author(s): Richard Kooijman Delft University of Technology Department of Electrical Engineering Section Computer Architecture and Digital Technique Mekelweg 4 2628 CD Delft The Netherlands Tel: +31-15-786209 Fax: +31-15-784898 Keywords: Authors!Kooijman, Backpropagation, C!Code, Connectionist Systems, Hebbian Learning, Machine Learning!Neural Networks, Neural Networks!Simulators, Public Domain, RNS, Recurrent Neural Networks References: ?
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