In determination of weights by learning, for noisy input vectors what kind of learning should be employed?(a) hebb learning law(b) widrow learning law(c) hoff learning law(d) no learning lawThis question was posed to me during an interview for a job.Enquiry is from Determination of Weights topic in portion Feedforward Neural Networks of Neural Networks

In determination of weights by learning, for noisy input vectors what

1.	In determination of weights by learning, for noisy input vectors what kind of learning should be employed?(a) hebb learning law(b) widrow learning law(c) hoff learning law(d) no learning lawThis question was posed to me during an interview for a job.Enquiry is from Determination of Weights topic in portion Feedforward Neural Networks of Neural Networks
Answer» The CORRECT answer is (d) no LEARNING LAW Easiest explanation: For NOISY INPUT vectors, there is no learning law.

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