Q. 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, can this model be used for perceptron learning?

View solution

Q. 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.

View solution

Q. Convergence in perceptron learning takes place if and only if:

View solution

Q. When line joining any two points in the set lies entirely in region enclosed by the set in M-dimensional space , then the set is known as?

View solution

Q. Is it true that percentage of linearly separable functions will increase rapidly as dimension of input pattern space is increased?

View solution

Q. If pattern classes are linearly separable then hypersurfaces reduces to straight lines?

View solution

Q. As dimensionality of input vector increases, what happens to linear separability?

View solution

Q. In a three layer network, shape of dividing surface is determined by?

View solution

Q. In a three layer network, number of classes is determined by?

View solution

Q. Intersection of linear hyperplanes in three layer network can only produce convex surfaces, is the statement true?

View solution

Q. Intersection of convex regions in three layer network can only produce convex surfaces, is the statement true?

View solution

Q. If the output produces nonconvex regions, then how many layered neural is required at minimum?

View solution

Q. Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units?

View solution

Q. What is a mapping problem?

View solution

Q. Can mapping problem be a more general case of pattern classification problem?

View solution

Q. What is the objective of pattern mapping problem?

View solution

Q. To provide generalization capability to a network, what should be done?

View solution

Q. Does an approximate system produce strictly an interpolated output?

View solution

Q. The nature of mapping problem decides?

View solution

Q. How is hard learning problem solved?

View solution