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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.
Review
2011
Review
2011
A Review of Power Conservation in Wireless Mobile Adhoc Network (MANET)
N. Tantubay
,
D. Gautam
,
Mukesh Dhariwal
2011
Corpus ID: 14995957
In wireless mobile ad hoc net-works, (MANET), Power conservation is a critical issue as energy resources are limited at the…
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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
2001
Highly Cited
2001
Self-Organizing neural networks: recent advances and applications
U. Seiffert
,
L. Jain
2001
Corpus ID: 60188287
This compilation contains new theoretical work as well as up-to-date applications contributed by some of the world leaders of…
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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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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Review
1994
Review
1994
From Statistics to Neural Networks
V. Cherkassky
,
J. Friedman
,
H. Wechsler
NATO ASI Series
1994
Corpus ID: 29842907
Predictive learning has been traditionally studied in applied mathematics (function approximation), statistics (nonparametric…
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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
1987
Highly Cited
1987
Dynamic optical interconnects: volume holograms as optical two-port operators.
D. Z. Anderson
,
D. M. Lininger
Applied Optics
1987
Corpus ID: 2361140
We view a real-time volume holographic medium as a programmable two-port device that operates on an optical electric field. A…
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Highly Cited
1969
Highly Cited
1969
THE SEARCH FOR CONFIGURAL RELATIONSHIPS IN PERSONALITY ASSESSMENT: THE DIAGNOSIS OF PSYCHOSIS vs. NEUROSIS FROM THE MMPI.
L. R. Goldberg
Multivariate Behavioral Research
1969
Corpus ID: 46139240
In 1956 Meehl predicted that the relationships between MMPI scores and the psychosis-neurosis diagnostic classification should be…
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