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Fundamentals of Neural Networks and fuzzy logic (SE CSE)
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Max-Product
μA=0.5, μB=0.4
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Given values: (x,μ) = (1,0.5), (2,1)
z=
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Fuzzy NOT
μA = 0.6
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Fuzzy OR
μA = 0.3, μB = 0.8
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Hebbian Rule Sign
If x=1, y=-1 → Δw?
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Vector Quantization
Cluster center for [2,4] and [4,6]:
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Euclidean Distance
Between (1,2) and (4,6):
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Winner Takes All
Distances: N1=2, N2=1, N3=3
Winning neuron:
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Fuzzification converts:
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Fuzzy union uses:
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