Goyal Neeraj Kumar Скачать все книги 2 Количество книг
Жанр в блоке книги Программы
Keeping in view the growth of the technological frontiers, there is always a need for the development of reliable, fault tolerant and cost- effective interconnection networks (INs) which are the critical metrics to achieve the goal of parallelism. The main objective of this book is to design new fault tolerant interconnection network layouts capable of path redundancy among dynamic failures. New INs designs are proposed and their observed results are found promising when compared with some of the earlier networks. The book also covers the reliability evaluation of various industrial network topologies considering multiple reliability performance parameters (2-TR, broadcast and ATR). Finally, the book also focuses on reliability evaluation and comparison of various topologies considering connectivity among multiple sources and multiple destinations (MSMT) nodes.
Жанр в блоке книги Программы
Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process is presented as well. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.
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