Soft Computing for Sustainability Science is popular PDF and ePub book, written by Carlos Cruz Corona in 2017-07-12, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Soft Computing for Sustainability Science can be Read Online from any device for your convenience.

Soft Computing for Sustainability Science Book PDF Summary

This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.

Detail Book of Soft Computing for Sustainability Science PDF

Soft Computing for Sustainability Science
  • Author : Carlos Cruz Corona
  • Release : 12 July 2017
  • Publisher : Springer
  • ISBN : 9783319623597
  • Genre : Technology & Engineering
  • Total Page : 348 pages
  • Language : English
  • PDF File Size : 7,5 Mb

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