WEIGEND ANDREAS S – författare
Visar alla böcker från författaren WEIGEND ANDREAS S. Handla med fri frakt och snabb leverans.
2 produkter
2 produkter
Del 7 - Progress In Neural Processing
Decision Technologies For Financial Engineering - Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets (Nncm '96)
Inbunden, Engelska, 1997
2 464 kr
Tillfälligt slut
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.The chapters emphasizes in-depth and comparative evaluation with established approaches.
Del 7 - Progress In Neural Processing
Decision Technologies For Financial Engineering - Proceedings Of The Fourth International Conference On Neural Networks In The Capital Markets (Nncm '96)
Häftad, Engelska, 1997
1 135 kr
Tillfälligt slut
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.The chapters emphasizes in-depth and comparative evaluation with established approaches.