Neural Network Questions and Answers – Applications of Neural Networks – 2

This set of Neural Networks online test focuses on “Applications Of Neural Networks – 2”. 1. Can Invariances be build as static functions in the structure? a) yes b) no 2. What is the objective of associative memories? a) to store patters b) to recall patterns c) to store association between patterns d) none of … Read more

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Neural Network Questions and Answers – Applications of Neural Networks – 1

This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Applications Of Neural Networks – 1″. 1. Which application out of these of robots can be made of single layer feedforward network? a) wall climbing b) rotating arm and legs c) gesture control d) wall following 2. Which is the most direct … Read more

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Neural Network Questions and Answers – ART

This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “ART″. 1. An auto – associative network is? a) network in neural which contains feedback b) network in neural which contains loops c) network in neural which no loops d) none of the mentioned 2. What is true about sigmoidal neurons? a) … Read more

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Neural Network Questions and Answers – Multi Layer Feedforward Neural Network

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

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Neural Network Questions and Answers – Associative Memories

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

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Neural Network Questions and Answers – Analysis of Feature Mapping Network

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

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Neural Network Questions and Answers – Feedback Layer

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

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Neural Network Questions and Answers – Competitive Learning Neural Nework Introduction

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

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Neural Network Questions and Answers – Boltzman Machine – 2

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

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Neural Network Questions and Answers – Boltzman Machine – 1

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

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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