TECHNIQUES FOR DETERMINING A STORE DEMAND FORECASTING MODEL

TECHNIQUES FOR DETERMINING A STORE DEMAND FORECASTING MODEL

According to an embodiment of the present invention, a method for determining a store demand forecasting model is disclosed. The method for determining a store demand forecasting model comprises the following steps of: obtaining at least one evaluation index for each of a plurality of pre-learned mo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: CHOI HOON MIN
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:According to an embodiment of the present invention, a method for determining a store demand forecasting model is disclosed. The method for determining a store demand forecasting model comprises the following steps of: obtaining at least one evaluation index for each of a plurality of pre-learned models by using a forecasting value outputted by inputting a test data set to each of the plurality of pre-learned models and label data related to the test data set; and determining a store demand forecasting model based on the at least one evaluation index for each of the plurality of pre-learned models. 본 개시의 일 실시예에 따라, 매장 수요 예측 모델을 결정하는 방법이 개시된다. 매장 수요 예측 모델을 결정하는 방법은, 테스트 데이터 셋을 복수의 기 학습된 모델 각각에 입력하여 출력된 예측 값과 상기 테스트 데이터 셋과 관련된 레이블 데이터를 이용하여 상기 복수의 기 학습된 모델 각각에 대한 적어도 하나의 평가 지표를 획득하는 단계; 및 상기 복수의 기 학습된 모델 각각에 대한 상기 적어도 하나의 평가 지표에 기초하여 매장 수요 예측 모델을 결정하는 단계;를 포함할 수 있다.