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What is true regarding adaline learning algorithm (a) uses gradient descent to determine the weight vector that leads to minimal error (b) error is defined as MSE between neurons net input and its desired output (c) this technique allows incremental learning (d) all of the mentioned Please answer the above question.

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Right answer is (d) all of the mentioned Best explanation: Incremental learning means refining of the weights as more training samples are added, rest are basic statements that defines adaline learning.

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