Use of neuron nets by definition deflected mode of constructions

Korsunov, Nikolay; Youriev, Alexander; Nikitinskiy, Dmitry

At present time neuronet's technologies have got a wide application in a different fields of technique. At the same time they give insufficient consideration to using neuron nets in the field of building. Use of approximating neuron nets will allow to definite the deflected mode of constructions elements using noticeably less computing facilities then by using universal methods, finite-element method for instance. Today neuron nets are used for calculation separate elements of building constructions. In this work use of neuron nets for calculation deflected mode of construction which consists of many elements is consider. The main idea of suggested analysis is using neuron nets for calculation internal intensities and transferences pieces of model which are selected by there functional destination. For example, a plate is destine for adoption intensity distributed among area, the purpose of core is taking up surface distributed intensity. Elements involved as intensity converter. Plate serve for intensities dispersion and their transfer. A template is associated with functional destination. A template regards as composition of model elements which has define functional destinations. A single template can incarnate several functional destinations. On receipt values of components transference the estimation of their permissibility is put into practice. In the case of detection a violation of permissible limit, in the component database is making a search for component with analogous functional destination, according to the type of violation. If such component is found than a change a previous component into new one is realized. Thus besides control a condition of construction by components there is a possibility to make a search for decisions of revealed problem....



Korsunov, Nikolay / Youriev, Alexander / Nikitinskiy, Dmitry: Use of neuron nets by definition deflected mode of constructions. 2005.


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