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Neural network software

Known as: Neural network technology 
Neural network software is used to simulate, research, develop, and apply artificial neural networks, software concepts adapted from biological… 
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Adaptive systemArtificial intelligenceArtificial neural networkBrian

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Movement Prediction Using Bayesian Learning for Neural Networks
A technique for reducing the wireless cost of tracking mobile users with uncertain parameters is developed in this paper. Such… 
Highly Cited
2004
Highly Cited
2004
AN ELECTROMAGNETISM ALGORITHM OF NEURAL NETWORK ANALYSIS—AN APPLICATION TO TEXTILE RETAIL OPERATION
ABSTRACT This paper applies a heuristic algorithm, called the “Electromagnetism Algorithm” (EM) [3], for neural network training… 
1999
1999
Fuzzy Set Based Neural Networks: Structure, Learning and Application
Highly Cited
1997
Highly Cited
1997
Alarm correlation and network fault resolution using the Kohonen self-organising map
A vital role for a large telecommunications operator is the ability to effectively manage its network. With increasing system… 
Highly Cited
1996
Highly Cited
1996
Mapping Ecological Land Systems and Classification Uncertainties from Digital Elevation and Forest-Cover Data Using Neural Networks
Our approaches in this project emphasized mainly the technical aspects of the land-systems classification problem with neural… 
Highly Cited
1996
Highly Cited
1996
Face Recognition using Radial Basis Function Neural Networks
This paper presents experiments using an adaptive learning compo nent based on Radial Basis Function RBF networks to tackle the… 
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
1995
Highly Cited
1995
Combining Neural Networks and Statistical Predictions to Solve the Classification Problem in Discriminant Analysis
A number of recent studies have compared the performance of neural networks (NNs) to a variety of statistical techniques for the… 
Highly Cited
1995
Highly Cited
1995
Prediction of Dough Rheological Properties Using Neural Networks
Cereal Chem. 72(3):308-311 A neural network was designed to predict the rheological properties accurately predicted the… 
Highly Cited
1991
Highly Cited
1991
Adaptive Control of Nonlinear Systems Using Neural Networks - A Dead-Zone Approach
Layered neural networks are used in a nonlinear adaptive tracking problem. The plant is an unknown feedback-linearizable discrete… 
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