Isbn: 9789810231231 - decision technologies for financial engineering: proceedings of the fourth internatinal conference on neural networks in the capital markets (nncm '96): 7 (7 risultati)

Hardcover. Condizione: Gut. 8°. XVI u. 417 Seiten mit zahlreichen graphischen Darstellungen, Diagrammen, Tabellen u. ä., ill. Papp-Bd. Band 7 der Reihe 'Progress in Neural Processing'. - Mit 'Keyword Index'. - Der Einband etwas berieben. Die obere Vorderdeckelecke leicht, die obere Rückdeckelecke stärker bestoßen, die Seiten im Innern an der oberen Ecke teils schwach knickspurig. Trotz der kleinen Mängel ein gutes Arbeitsexemplar.…

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condizione: New.

Hardcover. Condizione: Brand New. 417 pages. 9.00x6.25x1.25 inches. In Stock.

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Buch. Condizione: Neu. DECISION TECH FOR FINANCIAL ENGRG (V7) | Weigend Andreas S | Buch | PROGRESS IN NEURAL PROCESSING | Englisch | 1997 | World Scientific | EAN 9789810231231 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications - risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets - equity; foreign exchange; bond; commodity; derivatives; Approaches - data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.COMPUTATIONAL ECONOMICS / FINANCE | MATHEMATICAL / QUANTITATIVE FINANCE | NEURAL NETWORKS / NETWORKINGThe chapters emphasizes in-depth and comparative evaluation with established approaches.…