Results 201 to 210 of about 852,410 (222)
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Brain, Neural Networks, and Computation
Reviews of Modern Physics, 1999The method by which brain produces mind has for centuries been discussed in terms of the most complex engineering and science metaphors of the day. Descartes described mind in terms of interacting vortices. Psychologists have metaphorized memory in terms of paths or traces worn in a landscape, a geological record of our experiences.
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Vector Operations in Neural Networks Computations
2013 14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2013Nonlinearity is an important factor in the biological visual neural networks. Among prominent features of the visual networks, movement detections are carried out in the visual cortex. The visual cortex for the movement detection, consist of two layered networks, called the primary visual cortex (V1), followed by the middle temporal area (MT), in which
Naohiro Ishii +3 more
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Neural networks for shortest path computation and routing in computer networks
IEEE Transactions on Neural Networks, 1993The 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.
Faouzi Kamoun, M. Mehmet Ali
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Neural computations by networks of oscillators [PDF]
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000 We describe here how a network of oscillators can perform neural computations. In particular, it shown how the connectivity within the network can be created to memorize data in terms of phase relations between synchronized states. The memorized states are extracted through correlation calculations. The influence of noise on the system is discussed.
F. Hoppensteadt, E. Izhikevich
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Neural networks in computational mechanics
Archives of Computational Methods in Engineering, 1996In this paper, recent neural network applications, epecially to the fields related with the computational mechanics, were surveyed. The most outstanding characteristics of the neural network aided computation is that neither complicated programmings nor rigid algorithms are needed.
Hiroshi Okuda, Genki Yagawa
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On the computational power of neural networks and neural automata
1990 IJCNN International Joint Conference on Neural Networks, 1990The problem of which functions can be computed by a neural network is considered. The answers to this question determine the capabilities and limitations of a neural network as a general-purpose computer. A computation process is defined as the dynamic motion of input states to output states.
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Computing with structured neural networks
Computer, 1988The authors are concerned with how one can design, realize, and analyze networks that embody the specific computational structures needed to solve hard problems. They focus on the design and use of massively parallel connectionist computational models, particularly in artificial intelligence.
N.H. Goodard +2 more
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Neural networks for computed tomography
[Proceedings] 1992 IEEE International Symposium on Circuits and Systems, 2003Proposes a novel application of neural networks to cognitive tasks of computed tomography (CT). The principle of Hopfield type neural networks to reconstruct the image from the projected densities is described. The technique of reconstruction is based on the algebraic reconstruction technique (ART). Simulation results for a model of an image, where the
H. Koinuma, K. Sakai, Mititada Morisue
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Computation and control with neural networks
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1990Abstract As energies have increased exponentially with time, so have the size and complexity of accelerators and control systems. Neural networks (NNs) may offer the kinds of improvements in computation and control that are needed to maintain acceptable functionality.
T. Knight +3 more
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