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Neural Networks

Known as: Neural Networks (Journal), Neural network (disambiguation) 
Neural Networks is a monthly peer-reviewed scientific journal and an official journal of the International Neural Network Society, European Neural… 
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Related topics

Related topics

7 relations
Artificial neural networkComputer scienceEnsemble averaging (machine learning)European Neural Network Society

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2010
Review
2010
Designing Neural Networks in Culture
Technology has advanced to where it is possible to design and grow - with predefined geometry and surprisingly good fidelity… 
Highly Cited
2010
Highly Cited
2010
Universal Onset Detection with Bidirectional Long Short-Term Memory Neural Networks
Many different onset detection methods have been proposed in recent years. However those that perform well tend to be highly… 
Highly Cited
2009
Highly Cited
2009
Classification of EEG signals using relative wavelet energy and artificial neural networks
Electroencephalographms (EEGs) are records of brain electrical activity. It is an indispensable tool for diagnosing neurological… 
Highly Cited
2008
Highly Cited
2008
Introduction to Neural Networks for C#, 2nd Edition
Introduction to Neural Networks with C#, Second Edition, introduces the C# programmer to the world of Neural Networks and… 
Highly Cited
2007
Highly Cited
2007
Application of Artificial Neural Networks for Temperature Forecasting
In this paper, the application of neural networks to study the design of short-term temperature forecasting (STTF) Systems for… 
Highly Cited
2001
Highly Cited
2001
Applications of Neural Networks in Electromagnetics
From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more… 
Highly Cited
2001
Highly Cited
2001
Forecasting Electricity Demand on Short, Medium and Long Time Scales Using Neural Networks
This paper examines the application of artificial neural networks (ANNs) to the modelling and forecasting of electricity demand… 
Highly Cited
2000
Highly Cited
2000
Fast Text Compression with Neural Networks
Neural networks have the potential to extend data compression algorithms beyond the character level n-gram models now in use, but… 
Highly Cited
1995
Highly Cited
1995
Models in Biology: Mathematics, Statistics and Computing
Highly Cited
1994
Highly Cited
1994
Neural networks for quaternion-valued function approximation
In the paper a new structure of a Multi-Layer Perceptron, able to deal with quaternion-valued signals, is proposed. A learning… 
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