air pollution is one of the most challengeable problems in the asalouyeh zone. in order to reduce the air pollutants emission and their effects it is necessary to recognize the amount and spatial dispersion of air pollutants. hence in this paper, evaporative losses of the stored liquids from 16 tanks of an oil company in asalouyeh zone, are determined using tanks 4.0.9d and then dispersion of v...

Liquid storage cylindrical containers are built for storing a variety of liquids. The seismic behavior of tanks is, however, quite complex problem. The interaction of tank and liquid can be simplified with the concept of generalized single-degree-of-freedom systems representing the convective, rigid impulsive and flexible impulsive vibration modes. This paper presents the theoretical background...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

The engineering correlations for assessment of hazard distance defined by a size fireball after either liquid hydrogen spill combustion or high-pressure tank rupture in fire the open atmosphere (both stand-alone and under-vehicle tanks) are presented. term “fireball size” is used maximum horizontal that different from diameter” applied to spherical semi-spherical shape fireballs. There reasons ...

Abstrud -Hopfield’s neural networks show retrieval and speed capabilities that make them good candidates for content-addressable memories (CAM’s) in problems such as pattern recognition and optimization. This paper presents a new implementation of a VLSI fully interconnected neural network with only two binary memory points per synapse (the connection weights are restricted to three different v...

A review of works on associative neural networks accomplished during last four years in the Institute of Optical Neural Technologies RAS is given. The presentation is based on description of parametrical neural networks (PNN). For today PNN have record recognizing characteristics (storage capacity, noise immunity and speed of operation). Presentation of basic ideas and principles is accentuated.