In this paper, an attempt has been made to review the applications of artificial neural
networks (ANN) for energy and exergy analysis of refrigeration, air conditioning and heat …

Application of machine learning (ML)-based algorithms in food drying is an exciting and
innovative approach to advance the drying technology. In order to appropriately develop this …

Comprehensively covers conventional and novel drying systems and applications, while
keeping a focus on the fundamentals of drying phenomena. Presents detailed …

Agricultural system is very complex since it deals with large data situation which comes from
a number of factors. A lot of techniques and approaches have been used to identify any …

In present study, an attempt has been made to review the applications of artificial neural
network (ANN) for predicting the performance of solid desiccant cooling systems. Different …

Response surface methodology (RSM) is a frequently used method for empirical modeling
and prediction in the processing of biological media. The artificial neural network (ANN) has …

本书介绍了模糊-神经网络控制原理与方法, 单片机模糊控制开发技术和热工系统模糊-
神经网络控制仿真, 试验与工程应用. 全书共分11 章, 即绪论, 动态系统数学模型 …

The study aims at modelling the drying kinetics of a pharmaceutical powder with active
ingredient Candesartan Cilexetil. The kinetics was carried out in a vacuum dryer at different …

Consumer-driven products have kept the food industry at the forefront of technological
innovations. For example, the redefinition of the once accepted compromise between …

An adaptive-network-based fuzzy inference system based on color image analysis was used
to estimate coffee bean moisture content during roasting in a spouted bed. The neuro-fuzzy …