Knowledge representation using fuzzy spiking neural P system.
Tao WangJun WangHong PengYanli DengPublished in: BIC-TA (2010)
Keyphrases
- knowledge representation
- bio inspired
- spike trains
- neuron model
- spiking neural networks
- hebbian learning
- biologically plausible
- fuzzy sets
- spiking neurons
- neural fuzzy
- network architecture
- learning rules
- knowledge acquisition
- single neuron
- artificial intelligence
- fuzzy cognitive maps
- neural network
- fuzzy logic
- basal ganglia
- feed forward
- natural language
- membership functions
- fuzzy numbers
- machine learning
- biologically inspired
- expert systems
- semantic web
- fuzzy systems
- knowledge base
- natural language processing
- computational intelligence
- neural models
- automated reasoning
- knowledge structures
- fuzzy controller
- approximate reasoning
- visual processing
- first order logic
- fuzzy reasoning
- logic programming
- description logics
- connectionist models
- fuzzy rules
- knowledge engineering
- fuzzy neural network
- bayesian networks