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In China, casualties and economic losses are increasing due to disasters recent year. To enhance the ability of disaster prevention and relief, it is necessary to develop the management system of disaster prevention and relief based on building information modeling. The system will be much more intuitive than before with the BIM technology and all the data can be stored in BIM model. This paper discusses...
Multiple starting point optimization is an efficient approach for automated analog circuit optimization. Starting from a set of starting points, the corresponding local optimums are reached by local optimization method Sequential Quadratic Programming (SQP). The global optimum is then selected from these local optimums. If one starting point is located in a valley, it converges rapidly to the local...
This letter presents a novel dynamic Neuro-space mapping (Neuro-SM) technique for nonlinear device modeling. This is an advance over the existing static Neuro-SM which aims to map a given approximate device model towards an accurate model. The proposed technique retains the ability of static Neuro-SM in modifying the effects of nonlinear resistors and current sources. The proposed technique can also...
In this paper, an advanced Neuro-Space Mapping (SM) modeling technique for nonlinear device modeling is proposed. By neural network mapping of the voltage and current signals from the coarse to the fine models, Neuro-SM can modify the behavior of the coarse model to match that of the fine model. The novelty of our work is to introduce a Neuro-SM model combining separate mappings for voltage and current...
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