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020 _a9780387717203
_99780387717203
024 7 _a10.1007/9780387717203
_2doi
035 _avtls000332177
039 9 _a201509030757
_bVLOAD
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040 _aMX-SnUAN
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_cMX-SnUAN
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050 4 _aHG1-9999
100 1 _aYu, Lean.
_eautor
_9305308
245 1 0 _aForeign-Exchange-Rate Forecasting With Artificial Neural Networks /
_cby Lean Yu, Shouyang Wang, Kin Keung Lai.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v107
500 _aSpringer eBooks
505 0 _aPreface -- Are foreign exchange rates predictable? An anatomy of a survey from artificial neural networks perspective -- Basic principles of ANN algorithms -- Data preparation in neural network data analysis -- Forecasting foreign exchange rates using an adaptive back-propagation algorithm with optimal learning rate and momentum factor -- An online learning algorithm with adaptive forgetting factors for BP neural network in foreign exchange rate forecasting -- An improved BP algorithm with adaptive smoothing momentum terms for foreign exchange rate prediction -- Hybridizing BPNN and exponential smoothing for foreign exchange rate prediction -- A nonlinear combined model integrating ANN and GLAR for exchange rate forecasting -- A hybrid GA-based SVM model for foreign exchange market trends exploration -- Forecasting foreign exchange rates with a multistage neural network ensemble model -- Foreign exchange rate ensemble forecasting with neural network meta-learning -- A confidence-based neural network ensemble model for predicting foreign exchange market movement direction -- Foreign exchange rates forecasting with multiple candidate models: selecting or combining? -- Developing an intelligent Forex rolling forecasting and trading decision support system I: conceptual framework, modeling techniques and system implementation: developing an intelligent Forex rolling forecasting and trading decision support system II-An empirical and comprehensive assessment -- References -- Subject index -- Author index.
520 _aThe book focuses on forecasting foreign exchange rates via artificial neural networks. It creates and applies the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange-rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges. Foreign Exchange Rate Forecasting with Artificial Neural Networks is targeted at both the academic and practitioner audiences. Managers, analysts and technical practitioners in financial institutions across the world will have considerable interest in the book, and scholars and graduate students studying financial markets and business forecast will also have considerable interest in the book.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWang, Shouyang.
_eautor
_9303462
700 1 _aLai, Kin Keung.
_eautor
_9303463
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387717197
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-71720-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c280405
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