Soft Computing Techniques in Weather Science | Data-driven Techniques for Forecasting

Sudha Mohankumar

ISBN 10: 3330078014 / ISBN 13: 9783330078017

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

Soft Computing Techniques in Weather Science | Data-driven Techniques for Forecasting | Sudha Mohankumar | Taschenbuch | 160 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330078017 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 109087053

Bibliographic Details

• Title: Soft Computing Techniques in Weather Science | Data-driven Techniques for Forecasting
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 3330078014
• ISBN 13: 9783330078017
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 256 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

In this 'Soft Computing Techniques in Weather Science’ book by Dr. Sudha Mohankumar presents a comprehensive collection of Data Mining and Soft Computing approaches for short-range weather forecasting. The basic Rough Set, Neural Network, Fuzzy Theories and Classification concepts are dealt in detail with the relevant information for understanding the computing process. The applicability of various techniques in rainfall modeling is explained with the real-time observational dataset, highlighting the difference between various theoretical models. The book can be used as a handbook as well as a guide for soft computing research scholars and for various professionals who work in this area.

About the Author

Dr. Sudha Mohankumar is Associate Professor and joined the Information Technology & Engineering department at the VIT University (India) in 2008. Her current research interests are in the areas of Computational Intelligence, Soft Computing Models, Data Analytics, Data Security, and Business Process Management.