TY  - BOOK
AU  - Zhang,Ming
TI  - Artificial higher order neural networks for economics and business
SN  - 9781599048987 (electronic book)
PY  - 2009///
CY  - Hershey, Pa.
PB  - Information Science Reference
KW  - Finance
KW  - Computer simulation
KW  - Mathematical models
KW  - Computer programs
KW  - Neural networks (Computer science)
N1  - Includes bibliographical references and index; Artificial higher order neural network nonlinear models: SAS NLIN or HONNs? -- Higher order neural networks with Bayesian confidence measure for the prediction of the EUR/USD exchange rate -- Automatically identifying predictor variables for stock return prediction -- Higher order neural network architectures for agent-based computational economics and finance -- Foreign exchange rate forecasting using higher order flexible neural tree -- Higher order neural networks for stock index modeling -- Ultra high frequency trigonometric higher order neural networks for time series data analysis -- Artificial higher order pipeline recurrent neural networks for financial time series prediction -- A novel recurrent polynomial neural network for financial time series prediction -- Generalized correlation higher order neural networks for financial time series prediction -- Artificial higher order neural networks in time series prediction -- Application of pi-sigma neural networks and ridge polynomial neural networks to financial time series prediction -- Electric load demand and electricity prices forecasting using higher order neural networks trained by Kalman filtering -- Adaptive higher order neural network models and their applications in business -- CEO tenure and debt: an artificial higher order neural network approach -- Modelling and trading the soybean-oil crush spread with recurrent and higher order networks: a comparative analysis -- Fundamental theory of artificial higher order neural networks -- Dynamics in artificial higher order neural networks with delays -- A new topology for artificial higher order neural networks: polynomial kernel networks -- High speed optical higher order neural networks for discovering data trends and patterns in very large databases -- On complex artificial higher order neural networks: dealing with stochasticity, jumps and delays -- Trigonometric polynomial higher order neural network group models and weighted kernel models for financial data simulation and prediction; Electronic reproduction; Farmington Hills, Mi; Gale; Available via World Wide Web; Original; xxiii, 517 p. : ill. ; 29 cm
N2  - Provides significant, informative advancements in the subject and introduces the concepts of HONN group models and adaptive HONNs
UR  - http://find.galegroup.com.libraryumpsa.idm.oclc.org/openurl/openurl?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&req_dat=info:sid/gale:ugnid:myump&res_id=info:sid/gale:GVRL&ctx_enc=info:ofi:enc:UTF-8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft_id=info:sid/gale:bmcode:recid/2RAV
ER  -