In perceptron learning, what happens when input vector is correctly classified?

In perceptron learning, what happens when input vector is correctly classified? Correct Answer no adjustments in weight is done

No adjustments in weight is done, since input has been correctly classified which is the objective of the system.

Related Questions

Consider a system described by ẋ = Ax + Bu y = Cx + Du The system is completely output controllable if and only if Where: x = State vector (n-vector) u = Control vector (r-vector) y = Output vector (m-vector) A = n × n matrix B = n × r matrix C = m × n matrix D = m × r matrix