Mohlo by sa vám tiež páčiť

Viac informácií o knihe Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 175 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques
• Autor: Vladik Kreinovich
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 130
• EAN: 9783031099762
• ID: 43967523
• Nakladateľ: Springer, Berlin
• Rozmery: 235 × 155 mm
• Rok vydania: 2023

Obľúbené z iného súdka

---

---

---