Results 251 to 260 of about 815,001 (281)

Routing in computer networks using artificial neural networks

Artificial Intelligence in Engineering, 2000
Abstract This paper proposes a heuristic approach based on Hopfield model of neural networks to solve the problem of routing which constitutes one of the key aspects of the topological design of computer networks. Adaptive to changes in link costs and network topology, the proposed approach relies on the utilization of an energy function which ...
S. Pierre, H. Said, W.G. Probst
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Recurrent Neural Network for Computing Outer Inverse

Neural Computation, 2016
Two linear recurrent neural networks for generating outer inverses with prescribed range and null space are defined. Each of the proposed recurrent neural networks is based on the matrix-valued differential equation, a generalization of dynamic equations proposed earlier for the nonsingular matrix inversion, the Moore-Penrose inversion, as well as the
Živković, Ivan S., Stanimirović, Predrag S., Wei, Yimin   +2 more
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Introduction to Backpropagation Neural Network Computation

Pharmaceutical Research, 1993
Neurocomputing is computer modeling based, in part, upon simulation of the structure and function of the brain. Neural networks excel in pattern recognition, that is, the ability to recognize a set of previously learned data. Although their use is rapidly growing in engineering, they are new to the pharmaceutical community.
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Neural networks for shortest path computation and routing in computer networks

IEEE Transactions on Neural Networks, 1993
The application of neural networks to the optimum routing problem in packet-switched computer networks, where the goal is to minimize the network-wide average time delay, is addressed. Under appropriate assumptions, the optimum routing algorithm relies heavily on shortest path computations that have to be carried out in real time.
M M, Ali, F, Kamoun
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CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING

International Journal of Bifurcation and Chaos, 2003
Brain-like information processing has become a challenge to modern computer science and chip technology. The CNN (Cellular Neural Network) Universal Chip is the first fully programmable industrial-sized brain-like stored-program dynamic array computer which dates back to an invention of Leon O. Chua and Lin Yang in Berkeley in 1988.
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Some neural networks compute, others don’t

Neural Networks, 2008
I address whether neural networks perform computations in the sense of computability theory and computer science. I explicate and defend the following theses. (1) Many neural networks compute--they perform computations. (2) Some neural networks compute in a classical way.
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Fuzzy logic, neural networks, and soft computing

Communications of the ACM, 1993
Prof. Zadeh presented a comprehensive lecture on fuzzy logic, neural networks, and soft computing. In addition, he lead a spirited discussion of how these relatively new techniques may be applied to safety evaluation of time variant and nonlinear structures based on identification approaches. The abstract of his lecture is given as follows.
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Towards real-time photorealistic 3D holography with deep neural networks

Nature, 2021
Liang Shi, Beichen Li, Changil Kim
exaly  

Deep neural networks for the evaluation and design of photonic devices

Nature Reviews Materials, 2020
Jiaqi Jiang, Mingkun Chen, Jonathan A Fan   +2 more
exaly  

Neural network parallel computing

Neurocomputing, 1994
Catherine Roze, null Joe Hootman
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