Let R and S be two fuzzy relations defined as : [J17P3Q71]

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A neuron with 3 inputs has the weight vector [J17P3Q72]

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Which of the following neural networks uses supervised learning ? [J17P3Q73]

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Consider a Takagi - Sugeno - Kang (TSK) Model consisting of rules of the form : [N17P3Q70]

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Consider a single perceptron with sign activation function. The perceptron is represented by weight vector [0.4 −0.3 0.1]t and a bias θ=0. If the input vector to the perceptron is X=[0.2 0.6 0.5] then the output of the perceptron is : [N17P3Q71]

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The Sigmoid activation function f(t) is defined as : [N17P3Q72]

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