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Artificial neural network
Known as:
Computational network
, Neural networks (computer)
, Aritificial Neuron Network
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Neural Networks (also referred to as connectionist systems) are a computational approach which is based on a large collection of neural units loosely…
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Related topics
50 relations
Action selection
Adaptive neuro fuzzy inference system
Algorithmic trading
Analog signal
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Classifying Relations by Ranking with Convolutional Neural Networks
C. D. Santos
,
Bing Xiang
,
Bowen Zhou
Annual Meeting of the Association for…
2015
Corpus ID: 15620570
Relation classification is an important semantic processing task for which state-ofthe-art systems still rely on costly…
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Highly Cited
2010
Highly Cited
2010
Online Monitoring of Voltage Stability Margin Using an Artificial Neural Network
D. Q. Zhou
,
U. Annakkage
,
A. Rajapakse
IEEE Transactions on Power Systems
2010
Corpus ID: 9098699
In this paper, an artificial neural network (ANN) based method is developed for quickly estimating the long-term voltage…
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Highly Cited
2010
Highly Cited
2010
Spectral Mapping Using Artificial Neural Networks for Voice Conversion
Srinivas Desai
,
A. Black
,
B. Yegnanarayana
,
K. Prahallad
IEEE Transactions on Audio, Speech, and Language…
2010
Corpus ID: 3155395
In this paper, we use artificial neural networks (ANNs) for voice conversion and exploit the mapping abilities of an ANN model to…
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Highly Cited
2007
Highly Cited
2007
Modelling the Differential Pressure at Sieves with Artificial Neural Networks (Multilayer Perceptron) - a Contribution to Reactor Safety Research
A. Kratzsch
,
W. Kästner
,
Rainer Hampel
EUSFLAT Conf.
2007
Corpus ID: 4340793
In this contribution we describe the modelling of the differential pressure behavior of isolation materials at a sieve by…
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Highly Cited
2004
Highly Cited
2004
House Price Prediction: Hedonic Price Model vs. Artificial Neural Network
V. Limsombunchai
2004
Corpus ID: 52107264
The objective of this paper is to empirically compare the predictive power of the hedonic model with an artificial neural network…
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Highly Cited
2003
Highly Cited
2003
Artificial Neural Networks for Beginners
C. Gershenson
arXiv.org
2003
Corpus ID: 30744376
The scope of this teaching package is to make a brief induction to Artificial Neural Networks (ANNs) for people who have no…
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Highly Cited
2000
Highly Cited
2000
Introduction to Artificial Neural Network
Xiang-Sun Zhang
2000
Corpus ID: 59708757
Artificial neural networks or simply “neural nets” go by many names such as connectionist models, parallel distributed processing…
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Highly Cited
1998
Highly Cited
1998
Artificial neural networks for automatic ECG analysis
R. Silipo
,
C. Marchesi
IEEE Transactions on Signal Processing
1998
Corpus ID: 6358303
The analysis of ECGs can benefit from the wide availability of computing technology. This paper presents some results achieved by…
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Highly Cited
1997
Highly Cited
1997
Knowledge extraction from artificial neural network models
Zvi Boger
,
Hugo Guterman
IEEE International Conference on Systems, Man…
1997
Corpus ID: 13390639
The paper describes the development and application of several techniques for knowledge extraction from trained ANN models, such…
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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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