Fundamentals of neural network

Xvi,436 : 24 c

Fundamentals of neural networks : Architectures, algorithms, and applications

Indeks Bibliografi hlm. 437-447xvi, 461 hlm. :il. ;24 c

Fundamentals of Neural Networks: Architectures, Algorithms And Applications

Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks

Fundamentals of neural networks: architectures, algorithms, and applications

Indeks Bibliografi hlm. 437-447xvi, 461 hlm. :il. ;24 c

Fundamental Theory of Control of General First-order Matrix Difference Systems

This paper presents the general solution of the first-order matrix difference/discrete system T(n + 1) = A(n)T(n)B(n) + D(n)U(n) R(n) = C(n)T(n) in terms of two fundamental matrix solutions of T(n + 1) = A(n)T(n) and T(n + 1) = B*(n)T(n). Then questions are addressed related to controllability, observability, and realizability. Further, more general criteria are presented for complete controllability and complete observability of time-invariant systems