RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions
–Neural Information Processing Systems
The proof given here shows that for any finite, discrete transfer function used by the units of an RCC network, there are finite-state automata (FSA) that the network cannot model, no matter how many units are used. The proof also applies to continuous transfer functions with a finite number of fixed-points, such as sigmoid and radial-basis functions.
Neural Information Processing Systems
Dec-31-1998
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