Time Series Prediction by Using Convolutional Neural Networks


Abstract:

All companies need an effective method to predict future sales, and several classic statistical methods exist and are heavily used in the industry. This work proposes a novel sales prediction method based on Convolutional Neural Networks. This type of neural network is generally used for image processing tasks. But in this work, we explore new applications and develop models that produce good results in sales prediction for real pharmaceutical product data. Also, we implemented several classical and statistical prediction methods, and we compared them with our proposed model. For this, we used three comparison metrics: prediction accuracy, number of weights, and number of iterations. Finally, we proceeded to determine which prediction method is better both in accuracy and efficiency terms.

Año de publicación:

2021

Keywords:

  • deep learning
  • artificial neural networks
  • convolutional neural networks
  • Sales forecast

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Aprendizaje profundo
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Programación informática, programas, datos, seguridad
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 3: Salud y bienestar
  • ODS 8: Trabajo decente y crecimiento económico
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA