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Artificial Neural Network Applications for Software Reliability Prediction, 9781119223542
Hardcover
Predict software reliability with AI: no expert needed, results guaranteed.

Artificial Neural Network Applications for Software Reliability Prediction

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$491.26

  • Hardcover

    313 pages

  • Release Date

    1 January 1900

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Summary

Predicting Software Reliability with Artificial Neural Networks

This book provides a starting point for software professionals to apply artificial neural networks for software reliability prediction without having analyst capability and expertise in various ANN architectures and their optimization.

Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how t…

Book Details

ISBN-13:9781119223542
ISBN-10:1119223547
Series:Performability Engineering Series
Author:Manjubala Bisi, Neeraj Kumar Goyal
Publisher:John Wiley & Sons Inc
Imprint:Wiley-Scrivener
Format:Hardcover
Number of Pages:313
Release Date:1 January 1900
Weight:590g
Dimensions:229mm x 152mm x 19mm
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About The Author

Manjubala Bisi

Manjubala Bisi is currently an Assistant Professor in the Computer Science and Engineering Department, Kakatiya Institute of Technology and Science, Warangal, Telengana, India. She received her PhD from the Indian Institute of Technology Kharagpur in Reliability Engineering in 2015. Her research interests include software reliability modelling, artificial neural networks and soft computing techniques.

Neeraj Kumar Goyal is currently an Associate Professor in Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology Kharagpur, India. He received his PhD from IIT Kharagpur in Reliability Engineering in 2006. His major areas of research are network /system reliability and software reliability. He has completed various research and consultancy projects for various organizations. He has contributed research papers to refereed international journals and conference proceedings.

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