This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Multi Layer Feedforward Neural Network″. 1. What is the use of MLFFNN? a) to realize structure of MLP b) to solve pattern classification problem c) to solve pattern mapping problem d) to realize an approximation to a MLP 2. What is the … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Associative Memories″. 1. What are the tasks that cannot be realised or recognised by simple networks? a) handwritten characters b) speech sequences c) image sequences d) all of the mentioned 2. Can data be stored directly in associative memory? a) yes b) … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Analysis of Feature Mapping Network″. 1. What kind of learning is involved in pattern clustering task? a) supervised b) unsupervised c) learning with critic d) none of the mentioned 2. In pattern clustering, does physical location of a unit relative to other … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Feedback Layer″. 1. An instar can respond to a set of input vectors even if its not trained to capture the behaviour of the set? a) yes b) no 2. The weight change in plain hebbian learning is? a) 0 b) 1 … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Competitive Learning Neural Nework Introduction″. 1. How are input layer units connected to second layer in competitive learning networks? a) feedforward manner b) feedback manner c) feedforward and feedback d) feedforward or feedback 2. Which layer has feedback weights in competitive neural … Read more
This set of Neural Networks Multiple Choice Questions & Answers focuses on “Boltzman Machine – 2”. 1. For what purpose Feedback neural networks are primarily used? a) classification b) feature mapping c) pattern mapping d) none of the mentioned 2. Presence of false minima will have what effect on probability of error in recall? a) … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Boltzman Machine – 1″. 1. Probability of error in recall of stored patterns can be reduced if? a) patterns are stored appropriately b) inputs are captured appropriately c) weights are chosen appropriately d) none of the mentioned 2. What is pattern environment? … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Stochastic Networks″. 1. p(s=1|x) = 1/(1+exp(-x/T))) ,where ‘s’ is the output given the activation ‘x’ is a? a) hopfield network b) sigma network c) stochastic network d) none of the mentioned 2. Does a stochastic network will evolve differently each time it … Read more
This set of Neural Networks MCQs focuses on “Hopfield Model – 2”. 1. In hopfield network with symmetric weights, energy at each state may? a) increase b) decrease c) decrease or remain same d) decrease or increase 2. In hopfield model with symmetric weights, network can move to? a) lower b) higher c) lower or … Read more
This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Hopfield Model – 1″. 1. How can states of units be updated in hopfield model? a) synchronously b) asynchronously c) synchronously and asynchronously d) none of the mentioned 2. What is synchronous update in hopfield model? a) all units are updated simultaneously … Read more
