Browsing by Subject Neural networks (Computer science)

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Showing results 26 to 45 of 87 < previous   next >
Issue DateTitleAuthor(s)
2005A neural network modeling and control for etherification hybrid processChawat Siwaranon
2007Neural network-based optimal control strategy for a batch crystallizationLinda Thanasinthana
2010Neural network-based teeth recognition system using hybrid featuresSuprachaya Veeraprasit
2011Neural prediction of protein-protein interactions based on physicochemical correlation coefficients and bootstrapping for artificial data generationPutthiporn Thanathamathee
2013Phase-wise project effort estimation using neural networksPichai Jodpimai
2014PREDICTION OF DIOXIN EMISSION FROM MUNICIPAL SOLID WASTE INCINERATION BY ARTIFICIAL NEURAL NETWORK AND ADSORPTION MODEL OF DIOXIN DERIVATIVESSond Bunsan
1998Prediction of the extent of protein secondary structures using neural networksJurairat Phromjai
2007Prediction of time series using wavelet transform and neural networkPiyamas Kanuan
2003Principles of convergent rate and generalization enhancement for feedforward sigmoid-like networkKhamron Sunat
2008Region depth ordering in monocular single image using statistical blurring measureYutthana Lila
2010Safety stock calculation for jewelry industries based on consumption forecast by artificial neural networkNaroumon Yordphet
2006Soft sensor for quality estimation of product in cyclohexanone unitPraphon Kemachuntree
2004Software component identification specification and classification using formal method and artificial neural networksSathit Nakkrasae, 1974-
2016Structured svm backpropagation to convolutional neural network applying to human pose estimationPeerajak Witoonchart
2019Thai stock return prediction using deep learning models with stock indicators and textual featuresTanawat Chiewhawan
2021Topology optimization for CNN using neuroevolutionKevin Richard G. Operiano
2004Use of neural networks for the control of pervaporative membrane reactorPiyanuch Thitiyasook
2010Using artificial neural network to predict gas production for infill wellsNattaphon Temkiatvises
2011A very fast incremental neural learning for classification using only new incoming datum and hyper-ellipsoidal functionSaichon Jaiyen
2001Water demand forecasting using the artificial neural networkRapee Supradish Na Ayudhya