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Neural Network Simulation
Known as:
Neural Networks (Computer)
, Network, Neural (Computer)
, Perceptrons
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A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which…
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National Institutes of Health
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Related topics
Related topics
2 relations
Artificial Intelligence
computational neuroscience
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Scenario based Performance Analysis of AODV and OLSR in Mobile Ad hoc Networks
S. Gowrishankar
,
T. Basavaraju
,
M. Singh
,
S. Sarkar
2007
Corpus ID: 102327631
A mobile ad hoc network (MANET) is a network consisting of a set of wireless mobile nodes that communicate with each other…
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Highly Cited
2006
Highly Cited
2006
Ordering spatiotemporal chaos in complex thermosensitive neuron networks.
Y. Gong
,
Bo Xu
,
+4 authors
H. Xin
Physical review. E, Statistical, nonlinear, and…
2006
Corpus ID: 9758935
We have studied the effect of random long-range connections in chaotic thermosensitive neuron networks with each neuron being…
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Highly Cited
2002
Highly Cited
2002
Study of machine fault diagnosis system using neural networks
S. Hayashi
,
T. Asakura
,
Shenmin Zhang
Proceedings of the International Joint…
2002
Corpus ID: 61445511
Develops a machine fault diagnosis system using neural networks and spectral analysis. A neural network is applied to the fault…
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Highly Cited
1999
Highly Cited
1999
An exact and direct analytical method for the design of optimally robust CNN templates
M. Hänggi
,
G. Moschytz
1999
Corpus ID: 15190892
In this paper, we present an analytical design approach for the class of bipolar cellular neural networks (CNN's) which yields…
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Highly Cited
1997
Highly Cited
1997
Acquiring rule sets as a product of learning in a logical neural architecture
M. J. Healy
,
T. Caudell
IEEE Trans. Neural Networks
1997
Corpus ID: 6204769
Envisioning neural networks as systems that learn rules calls forth the verification issues already being studied in knowledge…
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Review
1995
Review
1995
Technologies and Designs for Electronic Nanocomputers
Michael Montemerlo
,
J. Love
,
G. Opiteck
,
David J. Goldhaber
,
J. Ellenbogen
1995
Corpus ID: 108785692
Diverse space-related applications have been proposed for microscopic and sub-microscopic structures, mechanisms, and 'organisms…
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Highly Cited
1993
Highly Cited
1993
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
D. Nauck
,
R. Kruse
IEEE International Conference on Neural Networks
1993
Corpus ID: 58070646
A kind of neural network architecture designed for control tasks is presented. It is called the fuzzy neural network. The…
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Highly Cited
1991
Highly Cited
1991
Modified Hopfield neural networks for retrieving the optimal solution
Bang W. Lee
,
B. Sheu
IEEE Trans. Neural Networks
1991
Corpus ID: 10982183
Due to the rugged energy function of the original Hopfield networks, the output is usually one local minimum in the energy…
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Highly Cited
1991
Highly Cited
1991
System Identification with Evolving Polynomial Networks
H. Kargupta
,
Robert E. Smith
International Conference on Genetic Algorithms
1991
Corpus ID: 36377734
1991
1991
All optical, high contrast absorptive modulation in an asymmetric Fabry-Perot étalon
J. Heffernan
,
M. H. Moloney
,
J. Hegarty
,
J. Roberts
,
M. Whitehead
1991
Corpus ID: 14890190
We report a 27:1 switching contrast ratio with 2.5 mW of power in an asymmetric Fabry–Perot etalon. The modulation is achieved by…
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