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

落后的煤渣

書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance影響因子(影響力)




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance影響因子(影響力)學(xué)科排名




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance網(wǎng)絡(luò)公開度




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance被引頻次




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance被引頻次學(xué)科排名




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance年度引用




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance年度引用學(xué)科排名




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




書目名稱Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance讀者反饋學(xué)科排名

入會(huì)

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

obstinate

本土

脾氣暴躁的人

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

Negligible

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

Negligible

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.

Phonophobia

為寵愛