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Fundamentals of neural networks
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The article was published on 1993-01-01 and is currently open access. It has received 1921 citations till now. The article focuses on the topics: Time delay neural network & Physical neural network.read more
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Optimization of the thermal behavior of tropical buildings
TL;DR: In this article, a three-layer feed forward neural network was used as a surrogate model for two global optimization algorithms to optimize the thermal behavior of a building, by means of the proper selection of some of its design parameters, such as thickness, thermal properties and reflectivity of walls and roof.
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Assessment of Data Quality Needs for Use in Transportation Applications
TL;DR: A travel time prediction algorithm is developed using speed measurements and which fully utilizes the relationship between traffic state and travel time that reduces the prediction error by approximately 50% compared to the current instantaneous method, especially at the shoulders of the peak periods.
Journal ArticleDOI
Artificial Neural Network (ANN) Based Inversion of Benthic Substrate Bottom Type and Bathymetry in Optically Shallow Waters - Initial Model Results
TL;DR: In this article, the authors demonstrate the use of Artificial Neural Network (ANN) based approach to spectrally distinguish various benthic bottom types and estimate depth of substrate bottom simultaneously in optically shallow waters.
Proceedings ArticleDOI
Shape feature extraction and pattern recognition of sand particles and their impact
TL;DR: A systematic approach to the problem of sand deposition in Nepalese rivers and its digital images have been acquired and software developed on MATLAB 6.5 platform to extract the exact shape of sand particles collected is identified.
Journal ArticleDOI
Rainfall yield characteristics of electrical storm observed in the Spanish Basque Country area during the period 1992 1996
TL;DR: In this paper, the authors focused on the study of rainfall yield characteristics of electrical storms observed over the Northern Iberian Peninsula during 1992-1996, using Principal Component Analysis (PCA) and Self-Organizing Maps (SOM) method.