General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns
- Heidelberg Univ., (Germany). Inst., fuer Theoretische Physik
- Lawrence Berkeley Lab., CA (United States)
A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 10186812
- Report Number(s):
- LBL-34384; HD-THEP-93-26; ON: DE94001254; TRN: 93:024074
- Resource Relation:
- Other Information: PBD: Jul 1993
- Country of Publication:
- United States
- Language:
- English
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