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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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Journal ArticleDOI
Flood forecasting in similar catchments using neural networks
TL;DR: It was concluded that the model may be utilized for flood forecasting in catchments that lie on the same cluster, however, as such catchments become less similar to the cluster; the simulation error would increase accordingly.
Weather Temperature Forecasting Using Artificial Neural Network
TL;DR: In this paper, two weather temperatures have been forecasted using Artificial Neural Networks (ANN) based on two previous weather temperaturesdegrees (high and low), as well as, the increasing and decreasing weather temperatured degree according to thermal retention.
Book ChapterDOI
Computer Aided Ore Body Modelling and Mine Valuation
TL;DR: Hustrulid and Kuchta as discussed by the authors used GPS data to draw topographical maps and surfaces, and underground maps such as thickness and grade contours are drawn as well, when topographical coordinates are combined with stratigraphical information, a three dimensional data set is handled.
Proceedings ArticleDOI
Sizing a flexible spinning reserve level with artificial neural networks
TL;DR: In this paper, a neural network based method is presented to formulate an economic flexible spinning reserve strategy, so that more reserve is withheld when contingencies are likely to occur, and less reserve is kept otherwise.
Proceedings ArticleDOI
Neural networks for fault-prediction in a telecommunications network
TL;DR: Fault prediction from large alarm records stored in different databases of non-cooperating network management systems is investigated to assist human operators and minimize the cost of the alarm evaluation process.