10. Models for formation of optimum strategies of control in structures of glass-covered ground
Lysenko V. P., Lendiel T. I.
Pages: 45-48.
Full article:
Keywords: neuron network, multi-layered, quality, income.
Pages: 45-48.
Full article:
Abstract
Aim. To build mathematical models that can be used in the system of the automated management for maximization of income of production in building of the closed soil due to the use as reverse information of data about quality of vegetable products. Methods. Mathematically-statistical, experimental. Results. Estimation of dependence of quality of vegetable products and income of production of tomatoes in a hothouse conducted neuron networks. The studies of neuron networks took place on results researches that conducted experimentally. The estimation of quality of functioning of networks was carried out after errors on the stages of studies, to control and test (exactness of estimations does not exceed 2,4%). Conclusions. Investigational, that in the phase of fruiting a maximal income will present 0,06 hrn.s from one bush on twenty-four hours, if the increase of quality products presents 6 gs/by hours From it swims out, that for twenty-four hours one bush of tomato can make profit in 1,44 hrn.sKeywords: neuron network, multi-layered, quality, income.
References
- Adlep Ju.A. Plahypobahye ekcnepymehta npy noycke ontymalbhblx yclobyj/Ju.A. Adlep, E.B. Mapkoba, Ju.B. Gpahobckyj. – M.: Hayka, 1976.
- Bopobykob B.P. Hejpohhble cety. STATICTICA Neural networks: Metodoloryia y texholoryy cobpemehhoro ahalyza dahhblx. 2-e yzd. – M.: Gopiachaia lyhyia – Telekom, 2008. – 392 c.
- pyrlob B.B. Yckycctbehhble hejpohhble cety. Teopyia y npaktyka/B.B. Kpyrlob. – M.: Gopiachaia lyhyia – Telekom, 2002. – 382 c.
- Kpiaheb A.B. Matematycheckye metodbl obpabotky heonpedelehhblx dahhblx/A.B. Kpiaheb, G.B. Lykyh. – M.: FYZMATLYT, 2003. – 216 c.
- Hobotapcbkyj M.A. Shtychhi hejpohhi mepezhi: obchyclehhia. Ppatsi Ihctytyty matematyky HAH Ykpaihy/M.A. Hobotapcbkyj, B.B. Hectepehko. – T50. – K.: Ih-t matematyky HAH Ykpaihy, 2004. – 408 c.
- Cajmoh Xajkih. Hejpohhble cety: nolhblj kypc, 2-e yzd., ycnp.: nep. c ahrl. – M.: OOO «Y.D.Bylbiamc», 2006 – 1104 c.
- Mohamad H. Hassoun. Fundamentals of Artificial Neural Networks. The MIT Press Cambridge, Massachusetts London, England. 1995.
- Pfeifer R. Neural Networks/R. Pfeifer, D. Damian, R. Fuchslin. – University of Zurich, 2010. – 109 p.
- ojas R.: Neural Networks, Springer-Verlag, Berlin, 1996. – 453 p.
- Thornley J.H.M. An Analysis of the Growth of Young Tomato Plants in Water Culture at Different Light Integrals and C02 Concentrations/J.H.M. Thornley, R.G. Hurd//Annals of Botany. – 1979. – V. 38, Is. 2. – P. 389—400.