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Figure 2. Installation of ANFIS  Figure 2, show the system of ANFIS where the fuzzy inference engine composite of five layers. The description of each layer is given below:  The first layer designates the type of the inputs membership functions (MF), that is; Node (k) entails a node operability comprising an adaptive node. The training progress of the said node alters the constituent of the node, that is transformed in obtaining a reduction of probable mistakes in the outcome, thus:

Figure 2 Installation of ANFIS Figure 2, show the system of ANFIS where the fuzzy inference engine composite of five layers. The description of each layer is given below: The first layer designates the type of the inputs membership functions (MF), that is; Node (k) entails a node operability comprising an adaptive node. The training progress of the said node alters the constituent of the node, that is transformed in obtaining a reduction of probable mistakes in the outcome, thus: