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Artificial neural network

Known as: Computational network, Neural networks (computer), Aritificial Neuron Network 
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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Action selectionAdaptive neuro fuzzy inference systemAlgorithmic tradingAnalog signal
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2010
Review
2010
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms… 
Highly Cited
2004
Highly Cited
2004
Artificial Neural Networks
artificial neural networks , artificial neural networks , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی 
Review
1999
Review
1999
Evolving artificial neural networks
  • X. Yao
  • Proc. IEEE
  • 1999
  • Corpus ID: 61519731
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and… 
Highly Cited
1997
Highly Cited
1997
Bidirectional recurrent neural networks
In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network… 
Review
1996
Review
1996
Fundamentals of Artificial Neural Networks
  • M. Hassoun
  • Proceedings of the IEEE
  • 1996
  • Corpus ID: 21254772
From the Publisher: As book review editor of the IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity… 
Review
1996
Review
1996
Artificial Neural Networks: A Tutorial
Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1992
Highly Cited
1992
Introduction to artificial neural systems
Jacek M. Zurada received his MS and Ph.D. degrees (with distinction) in electrical engineering from the Technical University of… 
Highly Cited
1991
Highly Cited
1991
Electric load forecasting using an artificial neural network
An artificial neural network (ANN) approach is presented for electric load forecasting. The ANN is used to learn the relationship… 
Review
1989
Review
1989
Learning in Artificial Neural Networks: A Statistical Perspective
  • H. White
  • Neural Computation
  • 1989
  • Corpus ID: 43711678
The premise of this article is that learning procedures used to train artificial neural networks are inherently statistical… 
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