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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

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Highly Cited
2015
Highly Cited
2015
Combining Neural Networks and Log-linear Models to Improve Relation Extraction
The last decade has witnessed the success of the traditional feature-based method on exploiting the discrete structures such as… 
Highly Cited
2012
Highly Cited
2012
Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and Its Experimental Evaluation
Type-2 fuzzy logic systems (FLSs) are proposed in the literature as an alternative to type-1 FLSs because of their ability to… 
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… 
Highly Cited
1999
Highly Cited
1999
A QoS-Provisioning neural fuzzy connection admission controller for multimedia high-speed networks
This paper proposes a neural fuzzy approach for connection admission control (CAC) with QoS guarantee in multimedia high-speed… 
Highly Cited
1998
Highly Cited
1998
Texture Classification and Segmentation by Cellular Neural Networks Using Genetic Learning
We present a new single-chip texture classifier based on the cellular neural network (CNN) architecture. Exploiting the dynamics… 
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
1993
Highly Cited
1993
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms
The paper proposes a general framework that encompasses the training of neural networks and the adaptation of filters. We show… 
Highly Cited
1993
Highly Cited
1993
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these… 
Highly Cited
1990
Highly Cited
1990
Self-organizing neural networks for perception of visual motion
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