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Design and implementation of a regional economic evaluation system based on fuzzy neural control

机译:基于模糊神经控制的区域经济评估系统的设计与实现

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This paper presents the design of a neuro-fuzzy current control scheme for a regional economic system. The method is firstly, a fuzzy evaluation method and fuzzy control rule based on lots of statistical data and experts' experience was trained and checked; secondly, a fuzzy neural controller was designed. Finally, simulation of this method was carried out by applying MATLAB GUI and Simulink. Simulation results show that fuzzy neural-network control is validated. This scheme is useful in avoiding the subjective and extensive in the regional economic evaluation. The method of switching controller development in this paper is new and can be applied to other Economics and Management fields' applications for improved performance.
机译:本文介绍了区域经济系统神经模糊电流控制方案的设计。该方法首先,培训基于大量统计数据和专家经验的模糊评估方法和模糊控制规则;其次,设计了模糊神经控制器。最后,通过应用MATLAB GUI和Simulink来执行这种方法的模拟。仿真结果表明,验证了模糊神经网络控制。该计划对于避免在区域经济评估中避免主观和广泛。本文切换控制器开发方法是新的,可以应用于其他经济学和管理领域的应用,以提高性能。

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