ARTIFICIAL NEURAL NETWORK AND THEIR APPLICATIONS IN FOOD MATERIALS: A REVIEW
Journal Title: Engineering and Technology Journal - Year 2022, Vol 7, Issue 4
Abstract
This paper is a review of artificial neural network technique for the prediction of drying parameters of food materials. The meaning of ANN, the importance, areas that ANN could be applied, future prospects and summary of previous researchers work using ANN for the prediction of drying parameters were considered. These drying parameters are not limited to the following: thickness, temperature, velocity, moisture content, drying rate that are used in the prediction. Thus, ANNs hold a great deal of promise for modeling complex tasks in process control and simulation and in applications for food safety, preservation and quality control. This method eliminates the need for manual calculations and the ANN representing more tools for prediction drying parameters of food materials. This technique is preferred for large data set for robust, accuracy and less time consuming benefits. The method/leaning algorithm mostly used was Levenberg-Marquardt back propagation and the coefficient of determination (R2) was above 0.9 and the moisture content was one of the key output parameter that was determined
Authors and Affiliations
Uwem Ekwere Inyang, Minister Ezekiel Obunikut
Keywords
Related Articles
- EP ID EP705189
- DOI 10.47191/etj/v7i4.06
- Views 96
- Downloads 0
OPTIMIZATION OF THERMO-FLOW IN A SOLAR FOOD DEHYDRATOR USING COMPUTATIONAL TECHNIQUES
A solar food dehydrator converts solar energy into heat required to remove moisture from food. This study involved development of an optimized design for a solar dehydrator using computational techniques. A computer-aide...
Blockchain for Tokenized Real-World Assets: A Scalable Framework for Cross-Functional Collaboration in Web3 Product Development
The integration of blockchain technology into the tokenization of real-world assets (RWAs) is revolutionizing how value is stored, transferred, and accessed globally. This paper proposes a scalable framework for cross-fu...
Cloud Computing in Smart Health Care
The concept of smart health care is rapidly increasing due to the advancement in technology. Smart Health care is defined as diagnosis the disease, improve the quality of patient’s life and enhance the quality of service...
A DEEP-FRACTURE APPROACH TO EMBEDDED MULTILAYER NEURAL NETWORKS FOR HANDWRITTEN CHARACTER RECOGNITION
Low-cost microcontrollers, but also with reduced processing and memory capabilities, are highly appreciated devices for the development of specific tasks as embedded systems. The devices found in the market today provide...
Economic Load Dispatch Optimization for Thermal Power Plant Using Particle Swarm Optimization and Lambda Iteration
Nigeria’s socioeconomic growth cannot improve effectively if the rate of electricity generation and dispatch continues at its current status which is due to several challenges facing the country’s power industry. This st...