Fuzzy backpropagation training of neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1226, Issue , 1997, Pages 416-427

  Gerke, Michael ^a   Hoyer, Helmut ^a  

^a UNIVERSITY OF HAGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTATION THEORY; FUZZY INFERENCE; PATTERN RECOGNITION;

BACKPROPAGATION LEARNING; FEED-FORWARD NETWORK; FUZZY BACK-PROPAGATION; FUZZY RULE-BASE; NEURAL NETWORK SIMULATORS; NEURAL NETWORK TRAINING; TIME CONSUMPTION; TRAINING PARAMETERS;

FUZZY NEURAL NETWORKS;

EID: 84947727780     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-62868-1_134     Document Type: Conference Paper

References (4)

1. [JACOBS 1988] Jacobs R.A., Increased rates of convergence through learning rate adaption, Neural Networks, 1 (1988), 295-307
2. [ARAB 1992] Arabshahi P., Choi J.J., Marks II R.J., Caudell T.P., Fuzzy Control of Backpropagation, IEEE International Conference on Fuzzy Systems 1992, San Diego 1992
3. [RIED 1993] Riedmiller M., Braun H., A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm, IEEE International Conference on Neural Networks 1993, San Francisco 1993
4. [RIED 1994] Riedmiller M., Advanced Supervised Learning in Multi-Layer Perceptrons-From Backpropagation to Adaptive Learning Algorithms, International Journal on Computer Standards and Interfaces, Special Issue on Neural Networks (5), 1994