Artificial Neural Networks in Food Processing: Modeling and Predictive Control

✍ Scribed by Mohamed Tarek Khadir

Publisher: De Gruyter
Year: 2021
Tongue: English
Leaves: 200
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food processing. Also, examples of ANNs in food processing applications such as pasteurization control are illustrated.

Discusses theory and current applications of ANNs in food processing technology.
A valuable tool for students and researchers in food science.
Code available for download.

📜 SIMILAR VOLUMES

Artificial Neural Networks in Food Proce

📁 Artificial Neural Networks in Food Processing: Modeling and Predictive Control

✍ Mohamed Tarek Khadir 📂 Library 📅 2021 🏛 De Gruyter 🌐 English

<p> Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a

Connectionist Models of Development: Dev

📁 Connectionist Models of Development: Developmental Processes in Real and Artificial Neural Networks

✍ Philip T. Quinlan 📂 Library 📅 2003 🏛 Psychology Press 🌐 English

This book contains edited chapters on current work concerning connectionist or neural network models of human development. A starting point of the approach is that the brain comprises millions of nerve cells (neurons) that share a myriad of connections. Human development in these systems is typicall

Gas Turbines Modeling, Simulation, and C

📁 Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks

✍ Hamid Asgari (Author); XiaoQi Chen (Author) 📂 Library 📅 2015 🏛 CRC Press

<p>Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT performance and classifi

Gas turbines modeling, simulation, and c

📁 Gas turbines modeling, simulation, and control : using artificial neural networks

✍ Asgari, Hamid; Chen, XiaoQi 📂 Library 📅 2016 🏛 CRC Press 🌐 English

Artificial Neural Network Modeling of Wa

📁 Artificial Neural Network Modeling of Water and Wastewater Treatment Processes

✍ Ali R. Khataee; Masoud B. Kasiri 📂 Library 📅 2011 🏛 Nova Science Publishers, Incorporated 🌐 English

Artificial neural networks (ANNs) are computer based systems that are designed to simulate the learning process of neurons in the human brain. ANNs have been attracting great interest during the last decade as predictive models and pattern recognition. Artificial neural networks possess the ability

Artificial Neural Networks for Modelling

📁 Artificial Neural Networks for Modelling and Control of Non-Linear Systems

✍ Johan A. K. Suykens, Joos P. L. Vandewalle, Bart L. R. De Moor (auth.) 📂 Library 📅 1996 🏛 Springer US 🌐 English

<p>Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Among these properties are their universal approximation ability, their parallel network structure and the availability of on- and