Fuzzy Associative Memory—Feedback Networks
The following sections are included:
Fuzzy Hopfield networks
Attractor and attractive basin
Learning algorithm based on fault–tolerance
Simulation example
Fuzzy Hopfield network with threshold
Attractor and stability
Analysis of fault–tolerance
Stability and fault–tolerance of FBAM
Stability analysis
Fault–tolerance analysis
A simulation example
Learning algorithm for FBAM
Learning algorithm based on fault–tolerance
A simulation example
Optimal fault–tolerance
An example
Connection network of FBAM
Fuzzy row–restricted matrix
The connection relations of attractors
The elementary memory of (R, L)
The transition laws of states
Equilibrium analysis of fuzzy Hopfield network
Connection relations of attractors
Elementary memory of W
The state transitive laws
References
