Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Soft Computing: Techniques in Engineering Sciences
🌠 Top Free Java Books - 100% Free or Open Source!
  • Title Soft Computing: Techniques in Engineering Sciences
  • Author(s) Mangey Ram, Suraj B Singh
  • Publisher: de Gruyter (August 24, 2020); eBook (Creative Commons Licensed)
  • License(s): CC BY-NC-ND 4.0
  • Hardcover: 230 pages
  • eBook: PDF (230 pages, 1.7 MB)
  • Language: English
  • ISBN-10: 3110625601
  • ISBN-13: 978-3110625608
  • Share This:  

Book Description

Soft Computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations. This book elaborates on the most recent applications in various fields of engineering.

Nowadays, there are a lot of real-world engineering problems, which cannot be studied precisely due to the presence of impreciseness and uncertainties. To tackle these types of problems, soft computing techniques have found wide applications and have been proved to be a powerful problem-solving methodology because of their strong learning and cognitive ability and good tolerance of uncertainty and imprecision.

Without mathematics no science would survive. This especially applies to the engineering sciences which highly depend on the applications of mathematics and mathematical tools such as optimization techniques, finite element methods, differential equations, fluid dynamics, mathematical modelling, and simulation.

Neither optimization in engineering, nor the performance of safety-critical system and system security; nor high assurance software architecture and design would be possible without the development of mathematical applications.

About the Authors
  • N/A
Reviews, Rating, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Introduction to Soft Computing (Eva Volna)

    This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making.

  • Applicative Computing: Its Quarks, Atoms and Molecules

    This work covers the advanced topics in main ideas of computing in general. Material is especially useful for the instructor, postgraduate and graduate students of IT-specialties and is suitable for the system of training of specialists.

  • Natural Computing and Beyond (Yasuhiro Suzuki, et al)

    This book compiles refereed contributions to various aspects of Natural Computing, ranging from computing with slime mold, artificial chemistry, eco-physics, and synthetic biology, to computational aesthetics.

  • Introduction to Classical and Quantum Computing (Tom Wong)

    This book is for students who want to learn quantum computing beyond a conceptual level, but who lack advanced training in mathematics. The only prerequisite is trigonometry, and mathematics beyond that will be covered.

  • Models of Computation: Exploring the Power of Computing

    It covers the traditional topics of formal languages, automata and complexity classes, as well as an introduction to the more modern topics of space-time tradeoffs, memory hierarchies, parallel computation, the VLSI model, and circuit complexity.

  • Foundations of Machine Learning (Mehryar Mohri, et al)

    This book is a general introduction to machine learning. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms.

  • Machine Learning Yearning (Andrew Ng)

    You will learn how to align on ML strategies in a team setting, as well as how to set up development (dev) sets and test sets. After finishing this book, you will have a deep understanding of how to set technical direction for a machine learning project.

Book Categories
:
Other Categories
Resources and Links