Neural, Novel & Hybrid Algorithms for Time Series Prediction

Norman Rasmus Swanson · Timothy D. Masters

169 citations0/0 files storedJournal of the American Statistical Association

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Forecasting Techniques and Applications Stock Market Forecasting Methods Time Series Analysis and Forecasting

Abstract

From the Publisher: Expert Timothy Masters provides you with carefully paced, step-by-step advice and guidance plus the proven tools and techniques you need to develop successful applications for business forecasting, stock market prediction, engineering process control, economic cycle tracking, marketing analysis, and more. CD-ROM includes NPREDICT - both DOS and Windows NT versions - a powerful time series program that can be customized to make accurate predictions in any application area, and much useful source code, including the complex-general multivariate fast Fourier transform in both C++ and Pentium-optimized assembler.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 169 citations exist upstream.

Cited by

2010Warning: Physics Envy May be Hazardous to Your Wealth!2001Multiresolution forecasting for futures trading using wavelet decompositions 2004Optimal Bidding on Keyword Auctions 2003On neuro-wavelet modeling 2004A Data Mining Approach for Retailing Bank Customer Attrition Analysis 2000Optimal signal multi-resolution by genetic algorithms to support artificial neural networks for exchange-rate forecasting 2002Explorations in LCS Models of Stock Trading

Imported from OpenAlex (CC0) — nothing here is generated.