Modelling aspects of grain drying with a neural network-Reference-Cited by-同舟云学术

Modelling aspects of grain drying with a neural network

Published:2000-10 Issue:1-2 Volume:29 Page:99-113
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Farkas I.,Reményi P.,Biró A.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference9 articles.

1. Use of neural network to predict industrial dryer performance;Huang;Drying Technol.,1993

2. S. Jay, T.N. Oliver, Modelling and control of drying processes using neural networks, in: Proceedings of the Tenth International Drying Symposium (IDS’96), Kraków, Poland, 30 July–2 August, 1996, vol. B, pp. 1393–1400.

3. Neurocomputing approaches to modelling of drying process dynamics;Kaminski;Drying Technol.,1998

4. Neural Fuzzy Systems;Lin,1995

5. Digital simulation of agricultural dryer performance;O’Callaghan;J. Agric. Eng. Res.,1971

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive study of drying process for limonite pellets using MLP artificial neural network model;Powder Technology;2024-08

2. Technical methods of national security supervision: Grain storage security as an example;Journal of Safety Science and Resilience;2023-03

3. Generalized Mathematical Model of the Grain Drying Process;Processes;2022-12-19

4. An expert system for insect pest population dynamics prediction;Computers and Electronics in Agriculture;2022-07

5. Prediction of the equilibrium moisture content and specific gravity of thermally modified wood via an Aquila optimization algorithm back-propagation neural network model;BioResources;2022-06-30