Design of interpretable fuzzy systems. (2017)

• Record Type: Book
• Further Information: Note: Krzysztof Cpałka.
• Authors: Cpałka, Krzysztof
• Contents: Preface -- Acknowledgements -- Chapter1: Introduction -- Chapter2: Selected topics in fuzzy systems designing -- Chapter3: Introduction to fuzzy system interpretability -- Chapter4: Improving fuzzy systems interpretability by appropriate selection of their structure -- Chapter5: Interpretability of fuzzy systems designed in the process of gradient learning -- Chapter6: Interpretability of fuzzy systems designed in the process of evolutionary learning -- Chapter7: Case study: interpretability of fuzzy systems applied to nonlinear modelling and control -- Chapter8: Case study: interpretability of fuzzy systems applied to identity verification -- Chapter9: Concluding remarks and future perspectives -- Index.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource (xi, 196 pages), illustrations
• Subjects: 511.3/13; Engineering; Fuzzy systems; Fuzzy logic; Fuzzy sets; Fuzzy logic; Fuzzy sets; Fuzzy systems; Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Computers -- Intelligence (AI) & Semantics; Artificial intelligence; Artificial intelligence; Electronic books
• Languages: English
• ISBNs: 9783319528816; 3319528815; 3319528807; 9783319528809
• Related ISBNs: 9783319528809
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed February 10, 2017).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.