Neural network system adapted for non-linear processing
Neural network for fuzzy reasoning
Intelligent controller with neural network and reinforcement learning
Fuzzy expert system learning network
Fuzzy logic design generator using a neural network to generate fuzzy logic rules and membership functions for use in intelligent systems
Recurrent neural network-based fuzzy logic system Patent #: 5606646
ApplicationNo. 620998 filed on 03/22/1996
US Classes:706/2, Fuzzy neural network706/16Learning task
ExaminersPrimary: Davis, George B.
Attorney, Agent or Firm
Foreign Patent References
International ClassesG06F 015/18
Foreign Application Priority Data1995-05-16 JP
AbstractA fuzzy-neural network system includes: an input layer outputting values of input parameters; a membership layer wherein a multiple number of regions for each of the input parameters are formed by dividing the probable range of the input parameter and a membership function is defined for each of the regions, the membership layer producing membership values as to the regions for each of the input parameters, in accordance with the output values from the input layer; a rule layer wherein specific rules are formed between regions belonging to different input parameters, the rule layer outputting a suitability for each of the rules; an outputting layer producing an output parameter or parameters in accordance with the output values from the rule layer; and a membership value setup means which, if some of the input parameters are unknown, sets up prescribed values as membership values corresponding to the unknown parameters.