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The design of intelligent washing machine controller based on FIS ANFIS

机译:基于FIS和ANFIS的智能洗衣机控制器设计

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This Software estimate precision is among the greatest challenges for software developers. Now days some soft computing techniques are widely used, which are fuzzy system, neural network and adaptive Neurofuzzy system. In this paper, we have design a fuzzy inference system to find the cleanness of clothes depend on the inputs washing powder, washing time and temperature of water. The output of FIS is compare with real output and get the best results. Here, we have design one more model Adaptive fuzzy inference using neural network and get the output cleanness of clothes depend on same input values and compare with real output. After that compare both models output and get minimum error. So we can use these controllers in our washing machine for better results and minimum error. These models are built in MATLAB toolbox FIS and ANFIS.
机译:这种软件估算精度是软件开发人员面临的最大挑战之一。如今,一些软计算技术被广泛使用,包括模糊系统,神经网络和自适应神经模糊系统。在本文中,我们设计了一个模糊推理系统,以根据输入的洗衣粉,洗涤时间和水温来确定衣服的清洁度。将FIS的输出与实际输出进行比较,以获得最佳结果。在这里,我们使用神经网络设计了另一种模型自适应模糊推理,并根据相同的输入值获得了衣服的输出清洁度,并与实际输出进行了比较。之后,比较两个模型的输出并获得最小误差。因此,我们可以在洗衣机中使用这些控制器以获得更好的结果和最小的误差。这些模型是在MATLAB工具箱FIS和ANFIS中构建的。

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