A Review: Artificial Neural Networks as Tool for Control Food Industry Process

• 作者: Antonio Jiménez Estrella Funes Gabriel Beltrán Yosra Allouche
• 来源期刊: 传感技术(英文)
• 学科: 医学
• 关键词: Artificial Neural Networks OLIVE OILS Sensor ON-LINE PROCESS CONTROL
• 年，卷（期）: 2015,（1）
• 页码范围: 28-43
• 页数: 16页
• 分类号: R73

摘要

In the last year, interest in using Artificial Neural networks as a modeling tool in food technology is increasing because they have found extensive utilization in solving many complex real world problems. Due to this and as previous step at development of some project, this paper intends to introduce the reader inside neural networks: general characteristics of the ANN, their architectures, their rules of learning, types of networks and ANN’s create process. Also this paper presents a comprehensive review of food industrial applications of artificial neural networks in the last year. ANN industrial applications are grouped and tabulated by their main functions and what they actually performed on the referenced papers with except the applications in the olive oil industry that are described with special emphasis.