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The Perceptron algorithm is a fundamental linear classifier used to model binary relationships. This implementation focuses on the logical implication x1 → (x2 ∨ x3)

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Perceptron Algorithm for Linear Function: x1 → (x2 ∨ x3)

The Perceptron algorithm is a fundamental linear classifier used to model binary relationships. This implementation focuses on the logical implication x1 → (x2 ∨ x3)

📚 Logical Breakdown

The logical function behaves as follows:

  • If ( x_1 = 0 ): Output is always True (1), regardless of ( x_2 ) or ( x_3 ).
  • If ( x_1 = 1 ): Output depends on ( x_2 or x_3 ):
    • True (1) if ( x_2 = 1 ) or ( x_3 = 1 ).
    • False (0) if ( x_2 = 0 ) and ( x_3 = 0 ).

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The Perceptron algorithm is a fundamental linear classifier used to model binary relationships. This implementation focuses on the logical implication x1 → (x2 ∨ x3)

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