Flow invariance for competitive neural networks with different time-scales

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2002, Pages 858-861

  Meyer Bäse, Anke ^a  

^a FAMU FSU COLLEGE OF ENGINEERING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; LEARNING SYSTEMS; MATHEMATICAL MODELS; ORDINARY DIFFERENTIAL EQUATIONS; THEOREM PROVING;

COMPETITIVE NEURAL NETWORK; FLOW INVARIANCE; HIGH GAIN APPROXIMATION; LONG-TERM MEMORY; SHORT-TERM MEMORY;

NEURAL NETWORKS;

EID: 0036076188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Competitive and cooperative aspects in dynamics of neural excitation and self-organization
2. Field theory of self-organizing neural nets
3. Adaptive pattern classification and universal recording
4. Competition, decision and consensus
5. Systems of differential equations
6. Emulating the dynamics for a class of laterally inhibited neural networks
7. Systems of ordinary differential equations which generate an order preserving flow