This paper deals with the seismic column design of 35 elevated RC water storage tanks. Tanks comprise a top conic trunk reservoir, variable hollow square cross-sections, and shallow foundation on sand layer. The five-column heights considered are 20, 25, 30, 35, 40 m. five tanks subjected to seven degrees loading characterized by reference peak ground acceleration in Eurocode 8. designed agains...

Quantum neural networks form one pillar of the emergent field quantum machine learning. Here generalizations classical realizing associative memories---capable retrieving patterns, or memories, from corrupted initial states---have been proposed. It is a challenging open problem to analyze memories with an extensive number patterns and determine maximal can reliably store, i.e., their storage ca...

In countries with hot climates, air-conditioning forms a large proportion of annual peak electrical demand, requiring expansion of power plants to meet the peak demand, which goes unused most of the time. Use of well-designed cool storage can offset the peak demand to a large extent. In this study, an air conditioning system with naturally stratified storage tank was designed, constructed and t...

Uniform Design, Finite Element Simulation, Artificial Neural Networks, Genetic Algorithm had been integrated to optimize the die geometric parameters of copper tube produce. The browser, WEB server and database structure of copper tube processing quality information management system were designed, The SPC technology of intelligent diagnosis analysis and processing were realized quality informa...

We consider the optimal rate of approximation by single hidden feed-forward neural networks on the unit sphere. It is proved that there exists a neural network with n neurons, and an analytic, strictly increasing, sigmoidal activation function such that the deviation of a Sobolev class W²(2r)(S(d)) from the class of neural networks Φ(n)(ϕ), behaves asymptotically as n(-2r/d-1). Namely, we prove...

Compressive strength and concrete slump are the most important required parameters for design, depending on many factors such as concrete mix design, concrete material, experimental cases, tester skills, experimental errors etc. Since many of these factors are unknown, and no specific and relatively accurate formulation can be found for strength and slump, therefore, the concrete properties ca...

Introduction: Identifying the potential firing patterns following different brain regions under normal and abnormal conditions increases our understanding of events at the level of neural interactions in the brain. Furthermore, it is important to be capable of modeling the potential neural activities to build precise artificial neural networks. The Izhikevich model is one of the simplest biolog...

Statistical models have been developed to predict the occurrence of pitting corrosion in carbon steel waste storage tanks exposed to radioactive nuclear waste. The levels of nitrite concentrations necessary to inhibit pitting at various temperatures and nitrate concentrations were experimentally determined via electrochemical polarization and coupon immersion corrosion tests. Models for the pit...