9783030755201 - explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance: 964 di rutkowski, tom (9 risultati)
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Condizione: New. In.
Lingua: Inglese
Editore: Springer International Publishing, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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 diagnosi…s 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.
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 186 pages. 9.25x6.10x0.50 inches. In Stock.
Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance (eng)
Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: 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.
Lingua: Inglese
Editore: Springer International Publishing Jun 2021, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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.
Altre immaginiLingua: Inglese
Editore: Springer, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: preigu, Osnabrück, Germaniapreigu
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Buch. Condizione: Neu. Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance | Tom Rutkowski | Buch | xix | Englisch | 2021 | Springer | EAN 9783030755201 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]c…om | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Jun 2021, 2021
Serie: Libro 468 di 538 - Studies in Computational Intelligence
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 171,19
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Buch. Condizione: 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., medi…cal 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.
