Complex-Valued Neural Networks with Multi-Valued Neurons by Igor Aizenberg (Engl
188,20 €
By Igor Aizenberg. Author Igor Aizenberg. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN.
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