Listar por tema "time series"
Mostrando ítems 1-8 de 8
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An Improved Artificial Intelligence Based on Gray Wolf Optimization and Cultural Algorithm to Predict Demand for Dairy Products: A Case Study
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2019)This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best ... -
An Improved Deep Learning Model for Electricity Price Forecasting
(International Journal of Interactive Multimedia and Artificial Intelligence, 06/2023)Accurate electricity price forecasting (EPF) is important for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity market. Besides that, EPF becomes critically ... -
Analysis of the behaviour of the clients assisted and sales variables in the different phases of the product life cycle
(European Journal of Management and Business Economics, 2018)Purpose - The Bass model was created to analyse the product life cycle (PLC) in order to help sales and marketing departments in their business decision making. The purpose of this paper is to analyse the diferences between ... -
Aplicación del aprendizaje profundo al reconocimiento de la actividad humana
(16/07/2020)Este trabajo tiene como objetivo aplicar técnicas de aprendizaje profundo para el reconocimiento de la actividad humana. Se han definido e implementado cuatro modelos de red neuronal y se han entrenado con los datos ... -
Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)In this paper, a new application of ridge polynomial based neural network models in multivariate time series forecasting is presented. The existing ridge polynomial based neural network models can be grouped into two groups. ... -
Impact of the Spanish smoke-free laws on cigarette sales by brands, 2000–2021: Evidence from a club convergence approach
(Tobacco Induced Diseases, 2023)INTRODUCTION In January 2006, the Spanish government enacted a tobacco control law that banned the advertising, promotion and sponsorship of tobacco. In January 2011, further legislation on this matter was adopted to provide ... -
Online SARIMA applied for short-term electricity load forecasting
(Applied Intelligence, 2024)Short-term Load Forecasting (STLF) plays a crucial role in balancing the supply and demand of load dispatching operations and ensures stability for the power system. With the advancement of real-time smart sensors in power ... -
Using the Statistical Machine Learning Models ARIMA and SARIMA to Measure the Impact of Covid-19 on Official Provincial Sales of Cigarettes in Spain
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)From a public health perspective, tobacco use is addictive by nature and triggers several cancers, cardiovascular and respiratory diseases, reproductive disorders, and many other adverse health effects leading to many ...
