Demand forecasting by the neural network with Fourier transform

被引：0

作者：

Saito, M ^{[1
]}

Kakemoto, Y ^{[1
]}

机构：

[1] Japan Res Inst, Chiyoda Ku, Tokyo 1020082, Japan

来源：

2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a new demand forecasting method using the Neural Network and Fourier Transform. In this method, time series data of sales results considered as a combination of frequency are transformed into several frequency data. They are identified from objective indexes that consist of product properties or economic indicators and so forth. This method is efficient for demand forecasting aimed at new products that have no historical data.

引用

页码：2759 / 2763

页数：5

共 50 条

[1] Demand forecasting by the neural network with discrete Fourier transform
Yohda, M
Saito-Arita, M
Okada, A
Suzuki, R
Kakemoto, Y
[J]. 2002 IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2002, : 779 - 782
[2] Hybrid Water Demand Forecasting Model Associating Artificial Neural Network with Fourier Series
Odan, Frederico Keizo
Ribeiro Reis, Luisa Fernanda
[J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2012, 138 (03) : 245 - 256
[3] Forecasting construction demand with a neural network
Aiken, M
Waller, B
Greer, T
[J]. DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3, 1998, : 645 - 647
[4] Transform neural network for Fourier detection task
Brown, DG
Pastel, MS
Myers, KJ
[J]. MEDICAL IMAGING 1999: IMAGE PROCESSING, PTS 1 AND 2, 1999, 3661 : 674 - 679
[5] Adaptive Neural Network in Logistics Demand Forecasting
Yin Yanling
Bu Xuhui
Yu Fashan
[J]. INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS, 2008, : 168 - +
[6] Neural network study for the subject demand forecasting
David Teran-Villanueva, Jesus
Ibarra-Martinez, Salvador
Laria-Menchaca, Julio
Antonio Castan-Rocha, Jose
Guadalupe Trevino-Berrones, Mayra
Humberto Garcia-Ruiz, Alejandro
Eduardo Martinez-Infante, Jose
[J]. REVISTA FACULTAD DE INGENIERIA, UNIVERSIDAD PEDAGOGICA Y TECNOLOGICA DE COLOMBIA, 2019, 28 (50): : 34 - 42
[7] Fourier transform profilometry based on convolution neural network
Zhou, Wenwei
Song, Yang
Qu, Xiangju
Li, Zhenhua
He, Anzhi
[J]. OPTICAL METROLOGY AND INSPECTION FOR INDUSTRIAL APPLICATIONS V, 2018, 10819
[8] Image registration based on neural network and fourier transform
Abche, Antoine B.
Yaacoub, Fadi
Maalouf, Aldo
Karam, Elie
[J]. 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15, 2006, : 1460 - +
[9] Tourism demand forecasting using graph neural network
Liang, Xuedong
Li, Xiaoyan
Shu, Lingli
Wang, Xia
Luo, Peng
[J]. CURRENT ISSUES IN TOURISM, 2024,
[10] Demand forecasting for delivery platforms by using neural network
Abbate, R.
Manco, P.
Caterino, M.
Fera, M.
Macchiaroli, R.
[J]. IFAC PAPERSONLINE, 2022, 55 (10): : 607 - 612

← 1 2 3 4 5 →