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OverviewSoft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty. Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance. Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively. Full Product DetailsAuthor: Christian Borgelt , María Ángeles Gil , João M.C. Sousa , Michel VerleysenPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2013 ed. Volume: 285 Dimensions: Width: 15.50cm , Height: 2.20cm , Length: 23.50cm Weight: 0.746kg ISBN: 9783642302770ISBN 10: 3642302777 Pages: 378 Publication Date: 29 August 2012 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsFrom the reviews: This excellent volume will serve as an introduction to an important merging of viewpoints. The papers are generally very good and the text is clear and readable. The mathematical rigor is high and nearly all papers include real-world examples or experimental data. ... This book is a valuable resource for those employed in statistical and soft computing, and a useful work for promoting better connections between these two fields. (Creed Jones, ACM Computing Reviews, December, 2012) From the reviews: “This excellent volume will serve as an introduction to an important merging of viewpoints. The papers are generally very good and the text is clear and readable. The mathematical rigor is high and nearly all papers include real-world examples or experimental data. … This book is a valuable resource for those employed in statistical and soft computing, and a useful work for promoting better connections between these two fields.” (Creed Jones, ACM Computing Reviews, December, 2012) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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