The.Hottest

Xin Yan, Xiao Gang Su ... 328 pages - Publisher: World Scientific; 1st edition (June, 2009) ... Language: English - ISBN-10: 9812834109 - ISBN-13: 978-9812834102 ...

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.

Giuseppe Ciaburro, Balaji Venkateswaran ... 270 pages - Publisher: Packt Publishing; (September, 2017) ... Language: English - ISBN-10: 1788397878 - ISBN-13: 978-1788397872 ...

Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases. By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book.

S. Chakraverty, Susmita Mall ... 157 pages - Publisher: CRC Press; (July, 2017) ... Language: English - ASIN: B0744Q3RW2 by Amazon.

Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using ordinary or partial differential equations. Analytical solutions of differential equations may not be obtained easily, so numerical methods have been developed to handle them. Machine intelligence methods, such as Artificial Neural Networks (ANN), are being used to solve differential equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This book shows how computation of differential equation becomes faster once the ANN model is properly developed and applied.

Ashfaque Ahmed, Bhanu Prasad ... 475 pages - Publisher: Auerbach Publications; 1st edition (July, 2016) ... Language: English - ISBN-10: 1498737595 - ISBN-13: 978-1498737593 ...

The best way to learn software engineering is by understanding its core and peripheral areas. Foundations of Software Engineering provides in-depth coverage of the areas of software engineering that are essential for becoming proficient in the field. The book devotes a complete chapter to each of the core areas. Several peripheral areas are also explained by assigning a separate chapter to each of them. Rather than using UML or other formal notations, the content in this book is explained in easy-to-understand language. Basic programming knowledge using an object-oriented language is helpful to understand the material in this book. The knowledge gained from this book can be readily used in other relevant courses or in real-world software development environments. This textbook educates students in software engineering principles. It covers almost all facets of software engineering, including requirement engineering, system specifications, system modeling, system architecture, system implementation, and system testing. Emphasizing practical issues, such as feasibility studies, this book explains how to add and develop software requirements to evolve software systems. This book was written after receiving feedback from several professors and software engineers. What resulted is a textbook on software engineering that not only covers the theory of software engineering but also presents real-world insights to aid students in proper implementation. Students learn key concepts through carefully explained and illustrated theories, as well as concrete examples and a complete case study using Java. Source code is also available on the book’s website. The examples and case studies increase in complexity as the book progresses to help students build a practical understanding of the required theories and applications.

John F. Douglas, Janusz M. Gaslorek, John A. Swaffield, Lynne B. Jack ... 992 pages - Publisher: Prentice Hall; 5th edition (July, 2006) ... Language: English - ISBN-10: 0131292935 - ISBN-13: 978-0131292932 ...

Written for courses in Fluid Mechanics in Civil and Mechanical Engineering, this text covers the fundamental principles of fluid mechanics, as well as specialist topics in more depth. The fundamental material relates to all engineering disciplines that require fluid mechanics. As in previous editions this book demonstrates the link between theory and practice with excellent examples and computer programs. The programs help students perform 3 types of calculations; relatively simple calculations, calculations designed to provide solutions for steady state system operation, and unsteady flow simulations.

R. C. Hibbeler ... 928 pages - Publisher: Prentice Hall; 1st edition (March, 2014) ... Language: English - ISBN-10: 0132777622 - ISBN-13: 978-0132777629 ...

Fluid Mechanics is intended for use in Fluid Mechanics courses found in Civil and Environmental, General Engineering, and Engineering Technology and Industrial Management departments. It is also serves as a suitable reference and introduction to Fluid Mechanics principles. Fluid Mechanics provides a comprehensive and well-illustrated introduction to the theory and application of Fluid Mechanics. The text presents a commitment to the development of student problem-solving skills and features many of the same pedagogical aids unique to Hibbeler texts. MasteringEngineering for Fluid Mechanics is a total learning package that is designed to improve results through personalized learning. This innovative online program emulates the instructor’s office–hour environment, guiding students through engineering concepts from Fluid Mechanics with self-paced individualized coaching. Teaching and Learning Experience: This program will provide a better teaching and learning experience—for you and your students. It provides: Individualized Coaching: Mastering Engineering provides students with wrong-answer specific feedback and hints as they work through tutorial homework problems. + Problem Solving: A large variety of problem types stress practical, realistic situations encountered in professional practice, with varying levels of difficulty. + Visualization: The photos are designed to help students visualize difficult concepts. + Review and Student Support: A thorough end-of-chapter review provides students with a concise reviewing tool. + Accuracy Checking: The accuracy of the text and problem solutions has been thoroughly checked by other parties. + Alternative Coverage: After covering the basic principles in Chapters 1-6, the remaining chapters may be presented in any sequence, without the loss of continuity.

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