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Neural networks are useful for developing fast and accurate parametric model of electromagnetic (EM) structures. However, existing neural-network techniques are not suitable for developing models that have many input variables because data generation and model training become too expensive. In this paper, we propose an efficient neural-network method for EM behavior modeling of microwave filters that...
The virtual reality plant ecological system is a subject of novelty, complexity and practicability. This essay gives a mathematical description of plants morphology as well as approaches on its 3D modelling including 3D scanning and reverse engineering. This essay also offers methods on the subtraction and processing of cloud data of discrete points, provides related experiments and verifications...
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