nach der Bestellung gedruckt Neuware - Printed after ordering - This book is based on my M. Tech work on prediction of flow patterns of gas-liquid flow in microchannel using probabilistic neural network (PNN). It also contains a brief description on PNN and steps to develop a PNN in MATLAB R2008a. The analytical models present in literature, to predict the gas-liquid flow patterns employs different physics involved. So, for each flow pattern there are separate models being developed. This present work is aim to develop a single PNN model for predicting the flow patterns. The advantage of using a PNN is the ability to predict without any detail knowledge and understanding of the physics involved.

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Bibliographic Details

Title: Identification of flow pattern in microchannel using ANN
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2013
Language: English
ISBN 10: 3659397741
ISBN 13: 9783659397745
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 6 millimeters depth
Weight: 131 grams

About this title

Synopsis

This book is based on my M. Tech work on prediction of flow patterns of gas-liquid flow in microchannel using probabilistic neural network (PNN). It also contains a brief description on PNN and steps to develop a PNN in MATLAB R2008a. The analytical models present in literature, to predict the gas-liquid flow patterns employs different physics involved. So, for each flow pattern there are separate models being developed. This present work is aim to develop a single PNN model for predicting the flow patterns. The advantage of using a PNN is the ability to predict without any detail knowledge and understanding of the physics involved.

About the Author

Mr. Seim Timung, Master of Technology: Studied Petroleum Refinery Engineering at Inian Institute of Technology Guwahati, India, under the supervision of Dr. Tapas K Mandal. Presently working as Research Scholar at IIT Guwahati, in the field of microfluidic technology under the supervision of Dr. Tapas K Mandal and Dr. Dipankar Bandyopadhyay

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