Dombi józsef (13 Ergebnisse)

Hardcover. Zustand: Fine. Vergilbt / ausgeblichen.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 204 pages. 9.25x6.10x0.47 inches. In Stock.

Hardcover. Zustand: Brand New. 204 pages. 9.25x6.10x9.21 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications | József Dombi (u. a.) | Taschenbuch | xvii | Englisch | 2021 | Springer | EAN 9783030519513 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New.

Taschenbuch. Zustand: Neu. Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools | József Dombi (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | xxi | Englisch | 2022 | Springer | EAN 9783030722821 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Zustand: Brand New. 194 pages. 9.25x6.10x0.67 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.…