Theory of the superposition principle for randomized connectionist representations in neural networks.
Edward Paxon FradyDenis KleykoFriedrich T. SommerPublished in: CoRR (2017)
Keyphrases
- neural network
- distributed representations
- symbolic knowledge
- connectionist models
- real valued
- associative memory
- theoretical basis
- back propagation
- structural risk minimization
- network architecture
- expert systems
- pattern recognition
- theoretical framework
- higher level
- artificial neural networks
- theoretical foundation
- information theory
- connectionist systems
- general theory
- activation function
- feed forward
- computational models
- neural network model
- self organizing maps
- fault diagnosis
- fuzzy logic
- support vector
- bayesian networks
- genetic algorithm