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Book synopsis

The book provides greater knowledge and understanding about various complex problems arising in different domains of the engineering field and their corresponding solutions based on numerical decision-making. Use of Computational Intelligence in problem investigation and solving involves developing mathematical models, formulating scientific equations by establishing a relationship between two variables involved in a problem, scientific notations and extensive application of factual data to determine the influence of inputs over a process and calculating the values of responses through the conduction of corresponding experimental procedures. Optimization plays a crucial role in identifying the best possible course of action from a given set of alternatives, which are less time-consuming, cost-effective and manpower efficient when complex manufacturing processes are taken into consideration. This multi-disciplinary book covers ten chapters that investigate the properties, performances, troubleshooting, evaluation of processes and fabrication of products, irrespective of domain or discipline. The chapters provide solutions for the different industrial operations and also play a significant role in throwing light on recent innovations in designing data-based solutions. This book also identifies the necessity for newer tools and techniques from a multi-disciplinary approach covering all spheres of methodologies to address the issues above referred. Thus, the ultimate aim of this book is to im- part responsibility for the readers through a slew of eco-friendly and environmentally conscious solutions, which is evident in most of the chapters.

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Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Allgemeines

• Full title: Computational Intelligence-based Solutions for Quantitative Problems in Engineering
• Author: R. Rekha, P. V. Rajesh
• Language: English
• Binding: Hardback
• Number of pages: 248
• EAN: 9781922617538
• ISBN: 1922617539
• ID: 43693798
• Publisher: CENTRAL WEST PUB
• Weight: 503 g
• Dimensions: 229 × 152 × 16 mm
• Date of publishing: 15. July 2023

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