If Em Denotes Error For Correction Of Weight Then What Is #232
If e(m) denotes error for correction of weight then what is formula for error in perceptron learning model: w(m + 1) = w(m) + n(b(m) – s(m)) a(m), where b(m) is desired output, s(m) is actual output, a(m) is input vector and ‘w’ denotes weight
This multiple choice question (MCQ) is related to the book/course
gs gs127 SQLite.
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gs gs127 Feedforward Neural Networks - Pattern Classification - Quiz No.1.
If e(m) denotes error for correction of weight then what is formula for error in perceptron learning model: w(m + 1) = w(m) + n(b(m) – s(m)) a(m), where b(m) is desired output, s(m) is actual output, a(m) is input vector and ‘w’ denotes weight
e(m) = n(b(m) – s(m)) a(m)
e(m) = n(b(m) – s(m))
e(m) = (b(m) – s(m))
none of the mentioned
