Artificial Neural Systems: Principle and Practice

Artificial Neural Systems: Principle and Practice

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An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems ...
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Quantum Logic and Classical Connectivity

Pp. 69-86 (18)

Pierre Lorrentz

Abstract

The aim and objectives of this chapter is to introduce the principles and fundamental concepts of elements which are used as building block of new and emerging neural systems. The first section introduces quantum logic and quantum algebra. Only those concepts relevant to ANNs’ gates production are introduced, and as such the mathematics involved has been kept to a minimum. The second section introduce a new non-volatile memory elements; the memristance. Since these phenomena are well known prior to their formal discovery (formulation), the fundamental concepts and the phenomena forms the subject of discussion in this chapter. The chapter has striven to be self-contained and brief in order to describe and impart information relevant to understanding of the ANNs’ elements.

Keywords:

Adjoint, Bell state, Cauchy-Schwarz inequality, C-NOT, Conjugate, Eigenvalue, Eigenvector, EPR pair, Flux linkage, Hadamard gate, Hermittian, Memristance, NAND, Orthonormal, Pauli matrices, Quantum gate, Qubit, Qu- NOT, Universal gate, XOR.

Affiliation:

University of Kent, United Kingdom.