This set of Neural Networks Quiz focuses on “Analysis Of Pattern Storage Networks – 2”. 1. For what purpose energy minima are used? a) pattern classification b) patten mapping c) pattern storage d) none of the mentioned 2. Is it possible to determine exact number of basins of attraction in energy landscape? a) yes b) … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Analysis Of Pattern Storage Networks – 1″. 1. For what purpose energy minima are used? a) pattern classification b) patten mapping c) pattern storage d) none of the mentioned 2. Is it possible to determine exact number of basins of attraction in … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “ Analysis of Linear Autoassociative FF Network″. 1. What is the objective of pattern recall? a) it should not take place when relations are disturbed b) it should take place when relations are slightly disturbed c) there is no such objective of … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Introduction Of Feedback Neural Network″. 1. How can false minima be reduced in case of error in recall in feedback neural networks? a) by providing additional units b) by using probabilistic update c) can be either probabilistic update or using additional units … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Analysis Of Pattern Storage″. 1. Which is a simplest pattern recognition task in a feedback network? a) heteroassociation b) autoassociation c) can be hetero or autoassociation, depends on situation d) none of the mentioned 2. In a linear autoassociative network, if input … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Backpropagation Algorithm – Set 3″. 1. What will be the values of net input of h1 and net input of h2 from the below figure, given that w1 = 0.2, w2 = 0.15, w3 = 0.3, w4 = 0.25, w5 = 0.45, … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Backpropagation Algorithm – Set 2″. 1. Backpropagation is capable of handling large learning problems. a) True b) False 2. One of the more popular activation functions for back propagation networks is the sigmoid. a) True b) False 4. A differentiable activation function … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Backpropagation Algorithm″. 1. What is the objective of backpropagation algorithm? a) to develop learning algorithm for multilayer feedforward neural network b) to develop learning algorithm for single layer feedforward neural network c) to develop learning algorithm for multilayer feedforward neural network, so … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Pattern Recognition″. 1. From given input-output pairs pattern recognition model should capture characteristics of the system? a) true b) false 2. Let a(l), b(l) represent in input-output pairs, where “l” varies in natural range of no.s, then if a(l)=b(l)? a) problem is … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Pattern Mapping″. 1. Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units? a) yes b) no 2. What is a mapping problem? a) when no restrictions such as linear separability is placed on the set of … Read more
