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Fundamentals of Neural Networks and fuzzy logic (SE CSE)
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ANN is inspired by:
Which is continuous activation?
Threshold logic is used in:
Net Input Calculation
w₁=1, w₂=2, x₁=2, x₂=3, b=0
Options:
Given: w = 2, learning rate = 0.1, gradient = 4
Find output for net = 0
Given: x = 2, y = 3, η = 0.5
According to Weight update rule the weight will be:
Given: Weights: w₁ = 2, w₂ = -1, Bias = 1 Input: x₁ = 1, x₂ = 2 Activation: Step function (output = 1 if net ≥ 0 else 0)
Net input is:
Bias in ANN is used to:
Hebbian rule: