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This article introduces the main idea of decision-making behavior testing scenario management system. Based on the study of the classic experiments in theory of behavioral decision effect, testing scenarios are designed for testing decision-making behavior of business executives, and then a management system is developed to achieve dynamic management of testing scenarios. Behavioral decision theory...
The Neural Network (NN) based models are commonly used in power amplifier modeling and predistorter design, and seen as a potential alternative to model and compensate broadband power amplifiers (PAs) having medium- to-strong memory effects along with high-order nonlinearity. In this paper, we propose a novel computationally efficient behavior model based on complex-Chebyshev functional link neural...
The current design process of the two automotive air conditioning devices (condenser and evaporator) mainly use a large number of experiments which are very time-consuming. In view of this flaw, this paper presents a structurized procedure to develop the simulation platform of the two devices. Firstly, the physical and mathematical models of the two devices were established. The heat transfer situation...
A radial basis function neural network (RBFNN) is developed and applied to analyze one-dimension periodic defected ground structure (1-D DGS). This RBFNN is designed by Matlab program and used to the modeling and simulation of 1-D DGS circuits. The trained artificial neural network (ANN) model maps a set of scatting parameters of 1-D DGS in terms of its geometric parameters. A good agreement among...
An intelligentized, comprehensive and high efficiency test system of solenoid valve for oil medium is designed in this paper, aiming to the disadvantage of current test devices in most solenoid valve factories in China. Serial communication of OPC-SERVER, sequential control of PLC, frequency conversion speed regulation technology and data acquisitions by LabVIEW are all achieved in this system; modeling...
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