9783030755232 - explainable artificial intelligence based on neuro-fuzzy modeling with applications in finance: 964 (studies in computational intelligence) de rutkowski, tom (10 resultados)
Idioma: Inglés
Editorial: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Condición: New. In.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance | Tom Rutkowski | Taschenbuch | xix | Englisch | 2022 | Springer | EAN 9783030755232 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]s…pringer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer International Publishing, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. 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 di…agnosis 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.
Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance (eng)
Idioma: Inglés
Editorial: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. 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 Jun 2022, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. 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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Taschenbuch. 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, Berlin|Springer International Publishing|Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 d.
Idioma: Inglés
Editorial: Springer, Palgrave Macmillan Jun 2022, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. 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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Taschenbuch. 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.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Springer, 2022
Serie: Studies in Computational Intelligence, Libro 468 de 538. Libro 468 de 538 - Studies in Computational Intelligence
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND.
