1. Ismail, T. F., A. Takeshita, N. Umeda, T. Itami, and T. Yoshida,
"Application of α-glucosidase activity and drug susceptibility tests to epidemiological studies on the fish pathogen Nocardia seriolae",
Fisheries Science, issue 77(1), pp. 113–118, 2011.
El-Gendy, E. A., and M.Helal,
"An approach to marker-assisted selection for increased body weights in local chickens in Egypt",
Poultry Science Association Annual Meeting, At St. Louis, Missouri, USA, St. Louis, Missouri, USA, Poultry Science Association, 2011.
ElKerdany, D., S. Hawas, R. Kamel, F. Hassan, T. ElSerafi, A. Ghanem, and M. AbdelRaouf,
"ArcheoUrb - Project of Qasr Muharib Fortress, Bahriya Oasis",
ArcheoUrb, Napoli, Italy, Clean Edizioni, 2011.
Seida*, A. A., E. N. D. Tanbouly*, W. T. Islam*, H. H. Eid, S. A. EL-Maraghy*, and E. A. S. Senousy*,
"Artichoke Waste as a Source of Health Promoting Hepatoprotective Phenolics ",
The 8th International IWA Symposium on Waste Management Problems in Agro-indust, Ihca,Cesme, Izmir, Turkey, 2011.
Atia, D. M., F. H. Fahmy, N. M. Ahmed, and H. T. Dorrah,
"Artificial Intelligence Techniques Based on Aquaculture Solar Thermal Water Heating System Control",
Online Journal on Electronics and Electrical Engineering (OJEEE) , vol. 3, issue 4, pp. 468-477, 2011.
AbstractOne of the most promising applications of hot water is aquaculture. Temperature is one of the most principle parameters affects aquaculture life. It can cause stress and mortality or superior environment for growth and reproduction. Shrimp is warm water aquaculture type need hot water supply. To increase pond production it is necessary to keep water temperature at 34oC. Artificial intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques or as components of integrated systems. They have been used to solve complicated practical problems in various areas and are becoming more and more popular nowadays. In this paper a control system using artificial neural network control (NNC) either adaptive fuzzy logic control (AFLC) are design to control the hot water temperature. A comparison study is applied between the performance of FLC and NNC. The performance of NNC is the best because the control design takes into consideration different variables which give an accurate output than FLC. Also this paper introduces a complete mathematical modeling and MATLAB SIMULINK model for the proposed aquaculture heating system.