Epsilon capacity of neural networks
AIP Conference Proceedings 151 on Neural Networks for Computing
The capacity of the Hopfield associative memory
IEEE Transactions on Information Theory
Approximation for the probability in the trails of the binomial distribution
IEEE Transactions on Information Theory
On the capabilities of multilayer perceptrons
Journal of Complexity - Special Issue on Neural Computation
On Reliable Computation With Formal Neurons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theory of Information and Coding
Theory of Information and Coding
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Discusses the development of formal protocols for handling error tolerance which allow a precise determination of the computational gains that may be expected. The error protocols are illustrated in the framework of a densely interconnected neural network architecture (with associative memory the putative application), and rigorous calculations of capacity ar shown. Explicit capacities are also derived for the case of feedforward neural network configurations.