Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques

-15% su kodu: ENG15
70,11 
Įprasta kaina: 82,48 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
70,11 
Įprasta kaina: 82,48 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 82.4800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

Modern AI techniques ¿- especially deep learning ¿- provide, in many cases, very good recommendations: where a self-driving car should go, whether to give a company a loan, etc. The problem is that not all these recommendations are good -- and since deep learning provides no explanations, we cannot tell which recommendations are good. It is therefore desirable to provide natural-language explanation of the numerical AI recommendations. The need to connect natural language rules and numerical decisions is known since 1960s, when the need emerged to incorporate expert knowledge -- described by imprecise words like "small" -- into control and decision making. For this incorporation, a special "fuzzy" technique was invented, that led to many successful applications. This book described how this technique can help to make AI more explainable.The book can be recommended for students, researchers, and practitioners interested in explainable AI.

Informacija

Autorius: Vladik Kreinovich
Serija: Studies in Computational Intelligence
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2022
Knygos puslapių skaičius: 140
ISBN-10: 3031099737
ISBN-13: 9783031099731
Formatas: 241 x 160 x 14 mm. Knyga kietu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques“

Būtina įvertinti prekę