A Neural Network for Signal Modelling in Business Cycle Studies

A Neural Network for Signal Modelling in Business Cycle Studies
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : 0858169517
ISBN-13 : 9780858169517
Rating : 4/5 (17 Downloads)

Book Synopsis A Neural Network for Signal Modelling in Business Cycle Studies by :

Download or read book A Neural Network for Signal Modelling in Business Cycle Studies written by and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


A Neural Network for Signal Modelling in Business Cycle Studies Related Books

A Neural Network for Signal Modelling in Business Cycle Studies
Language: en
Pages:
Authors:
Categories:
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

Neural Networks in Business Forecasting
Language: en
Pages: 296
Authors: G. Peter Zhang
Categories: Business & Economics
Type: BOOK - Published: 2004-01-01 - Publisher: IGI Global

DOWNLOAD EBOOK

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recent
1994 IEEE International Conference on Systems, Man, and Cybernetics
Language: en
Pages: 868
Authors:
Categories: Cybernetics
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Language: en
Pages: 197
Authors: Jaromír Vrbka
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the
Classification and Clustering in Business Cycle Analysis
Language: en
Pages: 168
Authors: Ullrich Heilemann
Categories: Business & Economics
Type: BOOK - Published: 2007-01-18 - Publisher: Duncker & Humblot

DOWNLOAD EBOOK

The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quanti