Yaser Abu-Mostafa – författare
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4 produkter
DECISION TECHNOLOGIES FOR FINANCIAL ENGINEERING - PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON NEURAL NETWORKS IN THE CAPITAL MARKETS (NNCM '96)
Av WEIGEND ANDREAS S, Andreas S. Weigend m. fl.
Inbunden, 1997
2314 kr
Lägg i varukorg
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 …
DECISION TECHNOLOGIES FOR FINANCIAL ENGINEERING - PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON NEURAL NETWORKS IN THE CAPITAL MARKETS (NNCM '96)
Av WEIGEND ANDREAS S, Andreas S. Weigend m. fl.
Häftad, 1997
1132 kr
Lägg i varukorg
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 …
Neural Networks In Financial Engineering - Proceedings Of The Third International Conference On Neural Networks In The Capital Markets
Av ABU-M MOODY ABU- APOSTOLOS-PAUL REFENES, Apostolos-paul Refenes m. fl.
Inbunden, 1996
1443 kr
Tillfälligt slut
One of the most exciting applications of neural networks in recent times has been to improve investment performance in the financial markets. Neural networks can be harnessed for this task as they bear many mathematical similarities to the nonlinear econometric models used to study the …
Neural Networks In Financial Engineering - Proceedings Of The Third International Conference On Neural Networks In The Capital Markets
Av ABU-M MOODY ABU- APOSTOLOS-PAUL REFENES, Apostolos-paul Refenes m. fl.
Häftad, 1996
1490 kr
Tillfälligt slut
One of the most exciting applications of neural networks in recent times has been to improve investment performance in the financial markets. Neural networks can be harnessed for this task as they bear many mathematical similarities to the nonlinear econometric models used to study the …