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IJON
2008
177views more  IJON 2008»
14 years 9 months ago
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem
In this paper, an approach to solving the classical Traveling Salesman Problem (TSP) using a recurrent network of linear threshold (LT) neurons is proposed. It maps the classical ...
Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang...
EUROPAR
2005
Springer
15 years 3 months ago
The Combined Perceptron Branch Predictor
— Previous works have shown that neural branch prediction techniques achieve far lower misprediction rate than traditional approaches. We propose a neural predictor based on two ...
Matteo Monchiero, Gianluca Palermo
65
Voted
TNN
2008
88views more  TNN 2008»
14 years 9 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
74
Voted
IJCNN
2006
IEEE
15 years 3 months ago
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
John A. Bullinaria
ICVGIP
2004
14 years 11 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas