Computational Intelligence-based Solutions for Quantitative Problems in Engineering

N. Baskar

ISBN 10: 1922617539 / ISBN 13: 9781922617538

Published by Central West Publishing Jul 2023, 2023

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware 248 pp. Englisch.

Seller Inventory # 9781922617538

Bibliographic Details

• Title: Computational Intelligence-based Solutions for Quantitative Problems in Engineering
• Publisher: Central West Publishing Jul 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1922617539
• ISBN 13: 9781922617538
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 18D millimeters 235 millimeters width by 157 millimeters height by 18 millimeters depth
• Weight: 515 grams

About this title

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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