This technical book, Compound Stratum Practice is composed to give a brief overview of a novel idea of classification of human age and gender using multi level hierarchical filtration technique named as Coarser Level and Compound Level.  The classification is achieved by implementation of Artificial Neural Network.  The complete operations of classification and detection are illustrated with the help of mathematical models. This is one of the applications and can be used for many other purposes as well.  This elaborated research problem is essentially a general purpose public interest and can be applied in the field of Psychiatry, Criminology, Mood Analysis and so on.  As you can see, the most basic pattern of Feed Forward Neural Network goes completely with numerous levels of hidden layers for processing, learning and classification.  Along with this ANN, a unique concept of 3 – Sigma Limits is imposed.  It is just an extra feature of filtration mechanism.  There is an Artifact binding defined here as well.

The introduction section of chapter 1 gives a very brief overview on the meaning of compound stratum practice, its importance, highlighting the contributions of compound stratum technique to the research arena and necessity of this technique to the society. Chapter 1 discusses traditional methods, conventional methods and the technological importance of ANN in real world with respect to the applications.  Chapter 2 presents the detailed objectives of Compound Stratum Practice, which gives a broad aspects of implementation of the proposed strategy in real world problems. Chapter 3 gives a detailed literature review of the existing methods relevant to the present book.  A broad study is conducted with the approaches of ANN, FIS and many other geometrical features based classification techniques.  Chapter 4 deals with the methodology implemented in the research problem.  An interesting approach is presented in this chapter of the book.  This chapter is the essential part of this book and maybe the most important part to the readers. The author introduces the role of 3 – Sigma limits, a unique model of mathematics, imposed on Artificial Neural Network. In chapter 5, the algorithm of Compound Stratum Practice is summarized.  Chapter 6 reflects the analysis and discussions based on the research outcome, and finally Chapter 7 explains the inference of the research problem, also tells about the future enhancements, which helps the research community to take over this problem to the further levels of investigation.

This present book has a unique design for research arena specially.  By studying this book, the reader would have an overview of the applications and usage of a valuable technique of classification, along with conventional and new approaches. The principal objective of the proposed method along with practical information and effective factors on each phase is given that makes this book a very useful document in the area of research.  In general, this book is very easy to read and understand. This book offers major developments in recent research to bring an effective classification processes in to practice. It provides a unique, holistic perspective on the basic and applied research issues regarding the application of 3 Sigma control limits imposed on ANN. The reader finds up-to-date information and solutions of classification process from many leading experts in the field.

However, this technical book is not free of limitations. Though the author tried his best to make the problem implementation free of limitations, some of the aspects are unsolvable here.  Please feel free to contact the author and reflect your comments to improve this Book in next editions.


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