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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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Simulation-based selection of optimum pressure die-casting process parameters using neural nets and genetic algorithms
TL;DR: In this article, neural network meta-models are suggested in order to generalise from examples connecting input process variables, such as gate velocity, mold temperature, etc., to output variables such as filling time, solidification time, defects, etc.
of Neural Networks
TL;DR: This paper deals with suitable modeling techniques for those agricultural data where the objective is to uncover the existing patterns and, based on this prediction, yield prediction is enabled based on cheaply available site data.
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The relationships between air pollutants, meteorological parameters and concentration of airborne fungal spores.
TL;DR: There were statistically significant relationships between spore concentration and environmental parameters as well as pollutants, confirmed by the Spearman's correlation rank analysis and high performance of the ANN models obtained.
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Integrating new methods and tools in fire danger rating
TL;DR: In this paper, the authors present a fire ignition risk scheme, developed in the study area of Lesvos Island, Greece, that can be an integral component of a quantitative Fire Danger Rating System.
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Automated user modeling for personalized digital libraries
TL;DR: A new approach to construct DLs that satisfy a user's necessity for information is proposed: Adaptive DLs, libraries that automatically learn user preferences and goals and personalize their interaction using this information.