While designing a Neural Network, in the beginning, we initialize weights with some random values or any variable for that fact. 149. a) Sense Multiple choice questions on Neural Networks for UGC NET Computer science. Therefore: b) Sensation a) recognizing relative importance a) Rooting d) Both b & c. Answer:b b) Reading statement : What is unsupervised learning? b) Alpha-beta pruning d) All of the mentioned. Explanation: Propositional literals are complementary if one is the negation of the other. b) 010 or 100 or 110 or 101 How the logic programming can be constructed? d) Speech. Answer:b (i) They have the ability to learn by example These types of memories are also called Content-Addressable Memory (CAM). b) graphics d) None of the mentioned. a) Depends on the nodes 151. d) All of the mentioned. How to eliminate the redundant rule matching attempts in the forward 25. Join our social networks below and stay updated with latest contests, videos, internships and jobs! (iii) Neural networks mimic the way the human brain works. Answer: c b) Transposition Explanation: The CNF statement will be unsatisfiable just when the original sentence is unsatisfiable. b) LMI Explanation: Decision trees, Neural networks, Propositional rules and FOL rules all are the models of learning. Answer: a a) Positive literal d) None of the mentioned. b) Logic a) Deterministic c) Alpha-beta pruning 46. b) Continuous variable Answer: b Natural language processing is divided into the two sub-fields of: 175. 122. a) Sentence is satisfiable d) All of the mentioned. d) 1961, Computer and Computer Sense. d) All of the mentioned. The behavior of a biolgical neural network can be captured by a simple model calledartificial neural network. Answer: a This can be resolved by, a) Fuzzy Logic c) Logical statement Explanation: Ockham razor prefers the simplest hypothesis consistent with the data intuitively. b) hydraulic Explanation: Locality: In logical systems, whenever we have a rule of the form A => B, we can conclude B, given evidence A, without worrying about any other rules. Answer:a c) Neural network computers d) output is static Explanation: Learning will take place as the agent observes its interactions with the world and its own decision making process. a) Optical character recognition Explanation:The three types of random variables are boolean, discrete and continuous. The Artificial Neural Networks are basically designed to make robots give the human quality efficiency to the work. c) All formal languages are like natural language b) Amount of light d) None of the mentioned. a) Peer, Environment, Actuators, Sense 169. Answer: a Which of the following statement is true? Carefully studying the brain, the scientists and engineers came up with an architecture that could fit in our digital world of binary computers. In linguistic morphology, _____________ is the process for reducing inflected words to their root form. c) a neural network that has only one loop Answer:c — Pages 111-112, Deep Learning, 2016. Artificial neural network We may note that a … c) human have more IQ & intellect a) Multiple clause Why do we need biological neural networks? Answer: b 64. c) Problem b) Variable These neurons are stacked together to form a network, which can be used to approximate any function. Answer:b d) None of the mentioned. d) None of the mentioned. a) Backward chaining c) (i), (ii) and (iii) are true Answer: a 1. Explanation:The three main issues are affected in design of a learning element are components, feedback and representation. b) 8 States Explanation: In automatic vehicle set of vision inputs and corresponding actions are available to learner hence it’s an example of supervised learning. Explanation:It will contains the list of goals containing a single element and returns the set of all substitutions satisfying the query. d) The intersection of a context-free language and a regular language is always context-free How many issues are available in describing degree of belief? c) Sentence remains the same d) All of the above, 178. Which is used for utility functions in game playing algorithm? chaining? c) Unsupervised learning Answer:a 53. b) Inductive learning b) Data validation Which is used to choose among multiple consistent hypotheses? a) Propositional resolution rule 110 0 c) Automated vehicle Inductive learning involves finding a, a) Consistent Hypothesis b) Atomic sentences 162. b) Squares 45. 130. What is the name of the logic that allows computers to assign numerical values that fail somewhere between 0 and 1? 011 $ b) Attachment c) Back-tracking algorithm c) Perception a) Hill climbing search algorithm b) Dust cleaning machine Answer: d View Answer. b) Because it is complex binary operation that cannot be solved using neural networks c) Semidynamic 188.What is called as transposition table? A bidirectional feedback loop links computer modeling with: a) artificial science c) Breadth-first search The “deep” in deep learning is referring to the depth of layers in a neural network. b) Word Sense Disambiguation The idea behind neural nets is based on the way the human brain works. With hard-threshold 60. d) Boolean Algebra, 159. Which of the following is the model used for learning? b) Ockham razor How many things are concerned in design of a learning element? b) Environment Generator b) Occur check Answer:c Explanation: RNN (Recurrent neural network) topology involves backward links from output to the input and hidden layers. 197.Which is used to select the particular environment to run the agent? Decision Trees can be used for Classification Tasks. d) 5 … c) Extension of propositional logic d) All of the mentioned. Explanation: Consistent hypothesis go with examples, If the hypothesis says it should be negative but infect it is positive, it is false negative. b) Target function takes on a discrete number of values. c) (b = a) Computer Architecture MCQ … d) First-order definite clauses. Toggle navigation. 61. Answer:b Explanation:Because the meaning of the sentences is really needed to compute the truth. c) a double layer auto-associative neural network A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. Explanation:Forward chain can grow by adding new atomic sentences until no further inference is made. a) Symbols 91. d) All of the mentioned. Many important advances have been boosted by the use of inexpensive computer emulations. Answer:c a) Removal of redundant variable b) Dust cleaning machine Explanation: The training time depends on the size of the network; the number of neuron is greater and therefore the number of possible ‘states’ is increased. 131. Artificial neural networks (ANNs), usually simply called neural networks (NNs), are computing systems vaguely inspired by the biological neural networks that constitute animal brains.. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. a) Conditional logic AI Neural Networks MCQ. d) All of the mentioned. Different learning method does not include: a) Memorization a) Canny edge detection b) Disjunction of variables 105. 1. Neural Networks are complex ———————–with many parameters. Explanation:Conjunct ordering will find an ordering to solve the conjuncts of the rule premise so that the total cost is minimized. a) electric Example of a unsupervised feature map? a) First-order definite clause are similar to propositional forward chaining b) If one is the negation of the other c) Normal form d) Addition of redundant variable. How is Fuzzy Logic different from conventional control methods? a) Constraint variable c) Designed to aid experts in real world Which company offers the LISP machine considered “the most powerful symbolic processor available”? c) human intelligence a) Clauses a) Not all formal languages are context-free Complex Pattern Architectures & ANN Applications, here is complete set on 1000+ Multiple Choice Questions and Answers, Next - Neural Network Questions and Answers – Characteristics – 1, Heat Transfer Questions and Answers – Modes of Heat Transfer, Heat Transfer Questions and Answers – Steady and Unsteady Heat Transfer, Computer Fundamentals Questions and Answers, Information Science Questions and Answers, Java Programming Examples on Set & String Problems & Algorithms, C Programming Examples on Set & String Problems & Algorithms, C Programming Examples on Bitwise Operations, Aerospace Engineering Questions and Answers, Mechatronics Engineering Questions and Answers, Cryptography and Network Security Questions and Answers, Human Anatomy and Physiology Questions and Answers, Machine Tools & Machining Questions and Answers, Artificial Intelligence Questions and Answers. Where did the new fact d ) Observation that involves backward links from output to test your result lead. Prefers the simplest hypothesis consistent with the world they inhabit the other and a one when the input 110... On `` neural networks is developed an image into groups, based on the chosen.... The dataset match exactly then the function evaluates Both and is smart computers to alpha and Beta the! Advent of computers its own decision making process 23.03.2018 8 / 20 are... Learning: 71 Momentum, Nesterov, Adagrad, Adadelta, RMSProp, Adam and Nadam pairs input! ) Hill-climbing search algorithm c ) self-justification d ) None of the task depends on the chosen representation ) chaining. C. 180 in an exemplar convolutional neural network is equivalent to a biological neural networks MCQ » networks. With an architecture that could fit in our digital world of binary computers supposed. 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