An upper bound on the performance of a novel feedforward perceptron equalizer.
Graham W. PulfordRodney A. KennedyBrian D. O. AndersonPublished in: IEEE Trans. Inf. Theory (1993)
Keyphrases
- feed forward
- upper bound
- neural nets
- neural network
- lower bound
- back propagation
- sample complexity
- worst case
- recurrent neural networks
- artificial neural networks
- learning algorithm
- decision feedback
- biologically plausible
- visual cortex
- computer simulation
- multi layer
- activation function
- branch and bound algorithm
- multipath
- hidden layer
- adaptive neural
- recurrent networks
- neural architecture
- learning rules
- neuron model
- artificial neural
- perceptron algorithm
- optimal solution
- neural network model
- artificial intelligence
- real time
- fuzzy logic
- multi class