Titlebook: Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance; Tom Rutkowski Book 2021 The Editor(s) (if

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書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance讀者反饋




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入會

Neuro-Fuzzy Approach and Its Application in Recommender Systems,t.?.). The attention is focused on the learning ability of the recommenders (Sect.?.). Moreover, the important issue of interpretability and explainability is discussed (Sect.?.). In Sect.?., two known methods of rule generation, applied in the proposed recommenders, are presented. Section?. refers

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Book 2021t majority of AI models work like black box models. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence can

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1860-949X the main idea of the explainable recommenders outlined with.The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, e.g., m

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Handbook of Pultrusion Technologyility is discussed (Sect.?.). In Sect.?., two known methods of rule generation, applied in the proposed recommenders, are presented. Section?. refers to the simplified form of the rules, also used in the novel recommendation systems. In Sect.?., different aspects of classification problems with regard to the recommenders are considered.

騙子

Neuro-Fuzzy Approach and Its Application in Recommender Systems,ility is discussed (Sect.?.). In Sect.?., two known methods of rule generation, applied in the proposed recommenders, are presented. Section?. refers to the simplified form of the rules, also used in the novel recommendation systems. In Sect.?., different aspects of classification problems with regard to the recommenders are considered.

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