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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:该软件估算精度是软件开发人员的最大挑战之一。现在,使用一些软计算技术被广泛使用,这是模糊系统,神经网络和自适应神经舒适系统。在本文中,我们设计了一种模糊推理系统,可以找到衣服的清洁取决于输入洗涤粉,洗涤时间和水的温度。 FIS的输出与实际输出进行比较,并获得最佳效果。在这里,我们使用神经网络设计了一个更多的型号自适应模糊推理,并获得衣服的输出清洁度取决于相同的输入值并与真实输出进行比较。在比较两个模型输出并获得最小错误。因此,我们可以在我们的洗衣机中使用这些控制器以获得更好的结果和最小误差。这些模型内置于Matlab Toolbox FIS和ANFIS中。

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