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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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Treatment of leather plant effluent using NF followed by RO and permeate flux prediction using artificial neural network
TL;DR: In this paper, an experimental data and modeling for membrane-based treatment of leather plant effluent is presented, where the effluent coming out from the various upstream steps of the leather plant are combined and pressure driven membrane processes like nanofiltration (NF) and reverse osmosis (RO) are undertaken after a pretreatment consisting of gravity settling and coagulation followed by cloth filtration.
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A web-based intelligent fault diagnosis system for customer service support
TL;DR: A Web-based intelligent fault diagnosis system, known as WebService, to support customer service over the Web, which integrates ANN with the CBR cycle to extract knowledge from service records of the customer service database and recall the appropriate service records using this knowledge during the retrieval phase.
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Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography.
Massimiliano Aschi,Angelo Antonio D’Archivio,Maria Anna Maggi,Pietro Mazzeo,Fabrizio Ruggieri +4 more
TL;DR: The proposed nonlinear QSRR model exhibits a high degree of correlation between observed and computed retention factors and a good predictive performance in wide range of mobile phase composition that supports its application for the prediction of the chromatographic behaviour of unknown pesticides.
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Retention prediction of adrenoreceptor agonists and antagonists on a diol column in hydrophilic interaction chromatography.
Noel S. Quiming,Nerissa L. Denola,Nerissa L. Denola,Ikuo Ueta,Yoshihiro Saito,Satoshi Tatematsu,Kiyokatsu Jinno +6 more
TL;DR: The inclusion of the four predictors which are related to the properties of the compounds, suggested hydrophilic interaction, hydrogen bonding and ionic interaction as possible mechanisms of retention of the analytes on the studied system.