Isbn: 9783030755201 - explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance: 964 (studies in computational intelligence, 964) (10 resultados)

Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Editorial: Springer, 2021
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Condición: New. In English.

Idioma: Inglés
Editorial: Springer, 2021
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Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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., 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 cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.…

Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Hardcover. Condición: Brand New. 186 pages. 9.25x6.10x0.50 inches. In Stock.

Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance (eng)
Idioma: Inglés
Editorial: Springer, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.

Idioma: Inglés
Editorial: Springer International Publishing, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainableProvides the main idea of the explainable recommenders outlined within the background of neuro-fuzzy systems.…

Idioma: Inglés
Editorial: Springer International Publishing Jun 2021, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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., 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 cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers. 188 pp. Englisch. …

Idioma: Inglés
Editorial: Springer, Palgrave Macmillan Jun 2021, 2021
Serie: Libro 468 de 538 - Studies in Computational Intelligence
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 171,19
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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., 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 cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.…