Neural Networks

Neural Networks is a monthly peer-reviewed scientific journal and an official journal of the International Neural Network Society, European Neural… (More)
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Topic mentions per year

Topic mentions per year

1987-2018
0204019872018

Papers overview

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Highly Cited
2016
Highly Cited
2016
We introduce a method to train Quantized Neural Networks (QNNs) — neural networks with extremely low precision (e.g., 1-bit… (More)
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Highly Cited
2013
Highly Cited
2013
Improving Neural Networks with Dropout Nitish Srivastava Master of Science Graduate Department of Computer Science University of… (More)
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2011
2011
Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate… (More)
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Highly Cited
2003
Highly Cited
2003
Brain-like information processing has become a challenge to modern computer science and chip technology. The CNN (Cellular Neural… (More)
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2003
2003
The scope of this teaching package is to make a brief induction to Artificial Neural Networks (ANNs) for people who have no… (More)
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1999
1999
Breast cancer diagnosis has been approached by various machine learning techniques for many years. This paper describes two… (More)
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Highly Cited
1998
Highly Cited
1998
Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the… (More)
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Highly Cited
1996
Highly Cited
1996
 
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Review
1996
Review
1996
Numerous eeorts have been made in developing \intelligent" programs based on the Von Neumann's centralized architecture. However… (More)
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Highly Cited
1992
Highly Cited
1992
One way of simplifying neural networks so they generalize better is to add an extra term to the error function that will penalize… (More)
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