what is the capacity of a neural network mcq

a) Depth-first search algorithm a) potential at synapses b) cell membrane potential c) all of the mentioned d) none of the mentioned ... both limited neural fluid & fan in capacity d) none of the mentioned View Answer. 152. b) First-order definite clause are mismatch to propositional forward chaining 51. High-resolution, bit-mapped displays are useful for displaying: a) clearer characters d) All of the mentioned. A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True Answer: b 60. Answer:b However, this field was established before the advent of computers, and has survived several eras. b) Attachment d) Waves. UGC NET MCQs. d) None of the mentioned. Explanation: The perceptron is a single layer feed-forward neural network. Drawbacks of template matching are? Explanation:A decision tree reaches its decision by performing a sequence of tests. a) Atomic sentences 86. Answer:d 124. 29. Answer: d Which of the following is true for neural networks? a) Multiple clause a) 1949, Donald O, The organization of Behavior, b) Every sentence of inference c) It has inherent parallelism Neural Networks are complex ______________ with many parameters. b) Weighted polynomial a) Depends on the nodes e) Estimated Hypothesis. 111. Which problem can frequently occur in backward chaining algorithm? b) Every states are dependant c) resolving ambiguity 140. The capacity of a network refers to the range or scope of the types of functions that the model can approximate. Answer:d 41. After generalization, the truth table becomes: c) Substitution c) Random variable Answer: b d) All of the mentioned. Explanation: An auto-associative network is equivalent to a neural network that contains feedback. Explanation: Linear weighted polynomial is used for learning element in the game playing programs. Deep learning is a part of machine learning with an algorithm inspired … d) Primary. Does for feature mapping there’s need of supervised learning? b) False b) The primary effect b) Breadth-first search Answer:b a. a) Environment creator Answer: b c) Composition sentences a) recognizing relative importance b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do 1. a) Syntactic distinction 1. What is meant by predicting the value of a state variable from the past? b) Removal of redundant literal a) Conjunctive normal form c) Active learning Explanation: Literals that contain variables are assumed to be universally quantified. Answer: d Neural network simulations appear to be a recent development. Choose that apply. (i) On average, neural networks have higher computational rates than conventional computers. Deep Neural Networks are ANNs with a larger number of layers. Explanation: The three image processing techniques are smoothing, edge detection and image segmentation. (iii)determine whether two or more shapes in a picture are connected or not, a) (ii) and (iii) are true Explanation:The type of feedback is used in determining the nature of the learning problem that the agent faces. e) The intersection two context-free languages is context-free. d) None of the mentioned. 12. Research scientists all over the world are taking steps towards building computers with circuits patterned after the complex inter connections existing among the human brain’s nerve cells. c) Speech recognition d) None of the mentioned. a) Propositional resolution rule b) 0.5-2m/s. Analogy between BNN and ANN x 1 x 2 x 3 x n w 1 w 2 w 3 w n Debasis Samanta (IIT Kharagpur) Soft Computing Applications 23.03.2018 9 / 20. What of the following is considered a pivotal event in the history of Artificial Intelligence? b) Disjunction of variables b) perceptual set 199.Where does the performance measure is included? Computer Architecture MCQ … a) a cognitive bias that makes us listen only to information we already agree with. d) seeing. b) The reverse of a context-free language is context-free, but the complement need not be b) Stereotypes b) Semantic distinction c) human intelligence Controlling Information Capacity of Binary Neural Network: • A new concept of information capacity regularization in deep neural networks is proposed. View Answer, 13. Answer:a 145. 202.Natural Language generation is the main task of Natural language processing. How many things are concerned in design of a learning element? In LISP, the function evaluates both and is. 118. Answer: d e) Else If approach. 62. 188.What is called as transposition table? c) 000 or 010 or 110 or 100 d) non-hierarchical planning. a) Every sentence of propositional logic Answer: b Truth-functionality: In logic, the truth of complex sentences can be computed from the truth of the components. A model with more capacity can model more different types of functions and may be able to learn a function t… d) we focus on specific stimuli while ignoring other stimuli. What will take place as the agent observes its interactions with the world? d) None of the mentioned. Explanation:Decision tree takes input as an object described by a set of attributes and returns a decision. Answer: c 110 0 c) Root is independant Answer: a where $ represents don’t know cases and the output is random. b) It is powerful and easy neural network e) Knowledge based learning. a) Hash table of next seen positions 14. a) Sentence is satisfiable d) 5 … b) Symbolics b) Perceptrons a) Local 136. a) Realizable All Rights Reserved. d) All of the mentioned. Setting all weights to zero makes your model equivalent to a linear model. Which knowledge base is called as fixed point? c) more generalized 11. 200.Which is used to provide the feedback to the learning element? Explanation: Every sentence of first-order logic can be converted to inferred equivalent CNF(Conjunction Normal Form) sentence. c) Actuators ... Back propagation is a learning technique that adjusts weights in the neural network by propagating weight changes. Explanation: Perception provides agents with information about the world they inhabit. Explanation: Pattern recognition is what single layer neural networks are best at but they don’t have the ability to find the parity of a picture or to determine whether two shapes are connected or not. 122. b) a neural network that contains feedback b) Inference rule Which of the following is not an application of learning? Which will solve the conjuncts of the rule so that the total cost is a) a neural network that contains no loops While designing a Neural Network, in the beginning, we initialize weights with some random values or any variable for that fact. a) Partial b) No function symbols d) Perceptron function. Answer:c a) It is another name given to the curvy function in the perceptron b) to apply heuristic search methods to find solutions of problem 81. c) any factor that gets in the way of good listening and decreases our ability to interpret correctly. a) Cultural mores d) A specialized hypothesis 100 $ b) Proposition d) None of the mentioned. a) Static How many kinds of reflection are available in image perception? Explanation:The three types of random variables are boolean, discrete and continuous. c) Logical statement Which algorithm are in more similar to backward chainiing algorithm? Learn all about CNN in this course. Explanation: The type of feedback is used in determining the nature of the learning problem that the agent faces. Explanation:The three types of machine learning are supervised, unsupervised and reinforcement. d) None of the mentioned. b) Rational What kind of clauses is available in Conjunctive Normal Form? In a specialized hypothesis we need to have certain restrict or special conditions. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. This set of Neural Networks Multiple Choice Questions & Answers (MCQs) focuses on “Introduction″. b) Back-propagation algorithm 146. a) Possible Scenarios can be added d) None of the mentioned. c) 2-5m/s. Like the human brain, they learn by examples, supervised or unsupervised. 138. b) (ii) is true 158. b) Because they are the only class of problem that Perceptron can solve successfully In linguistic morphology, _____________ is the process for reducing inflected words to their root form. Which is used to choose among multiple consistent hypotheses? d) Sensor. a) Relizable b) Graphs View Answer, 4. b) If one is the negation of the other a) Probability distributions b) symbols Answer: a Explanation:Logic programming can be constructed by expressing knowledge in a formal expression and the problem can be solved by running inference process. b) Amount of light 74. If you missed the previous post of Artificial Intelligence’s then please click here.. c) tutoring module b) Incremental forward chaining b) WWW Artificial neurons are not identical in operation to the biological ones. Understand the role of optimizers in Neural networks. Explanation:The version of probability theory we present uses an extension of propositional logic for its sentences. b) time and motion d) Distinguish facts from inference. a) Problem What is stability plasticity dilemma ? Which is the complete specification of the state of the world? Keywords: Feed-forward neural networks, deep learning, scale-sensitive capacity control 1. Decision trees are appropriate for the problems where: a) Attributes are both numeric and nominal Single layer associative neural networks do not have the ability to: d) None of the mentioned. High-resolution, bit-mapped displays are useful for displaying: 176. b) Continuous variable d) All of the mentioned. a) Resolution Explanation: The five types of 3-D image processing techniques are motion, binocular stereopsis, texture, shading and contour. Explanation:Learning will take place as the agent observes its interactions with the world and its own decision making process. b) Literals d) Both a & b. How to eliminate the redundant rule matching attempts in the forward a) Forward chaining b) For data including categorical variables with different number of levels, information gain in decision trees are biased in favor of those attributes with more levels c) we make choices to avoid particular stimuli d) All of the mentioned. d) None of the mentioned. a) Constraint variable (iii)They are more suited for real time operation due to their high ‘computational’ rates, a) (i) and (ii) are true c) unclear antecedents b) heuristic processing Global attribute defines a particular problem space as user specific and changes according to user’s plan to problem. 91. 106. b) Incompleteness c) Circles Which is not a desirable property of a logical rule-based system? Which of the following strategies would NOT be effective at improving your communication competence? 94. Explanation:Because the meaning of the sentences is really needed to compute the truth. c) No further inference 010 0 Why are linearly separable problems of interest of neural network researchers? c) (i), (ii) and (iii) are true a) to solve tasks like machine vision & natural language processing Answer:b Each neuron has an input, a processing function, and an output. a) Biology d) None of the mentioned. c) Both a) & b) The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the logician … Answer:a 011 $ b) related to storage & recall task Therefore: d) Operational logic. The best form of inference rule is modus ponens. 110 0 40. What is used to initiate the perception in the environment? Does pattern classification & grouping involve same kind of learning? c) New fact b) Inference 208.Given a sound clip of a person or people speaking, determine the textual representation of the speech. a) Linear polynomial c) No specific Inputs are given Decision Tree is a display of an algorithm. Following are the advantage/s of Decision Trees. a) Positive literal Answer: d Explanation: Neural networks have higher computational rates than conventional computers because a lot of the operation is done in parallel. 209.Speech Segmentation is a subtask of Speech Recognition. A model with less capacity may not be able to sufficiently learn the training dataset. Where does the dependance of experience is reflected in prior proability 120. d) Exponential Functions. 59. Answer: a A. unidirectional ... A. a single layer feed-forward neural network with pre-processing B. an auto-associative neural network C. a double layer … c) Type of feedback These Multiple Choice Questions (mcq) should be practiced to improve the AI skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations. d) Negation as success. Explanation: Canny edge detection is assuming any two neighboring that are edge pixels with consistent orientation. Which is meant by assuming any two neighboring that are both edge pixels with consistent orientation? Neural networks learn mapping functions. 201.Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun. a) Clauses b) Depth-first search 95. c) Propositional resolution 36. e) Global attribute. What is used in determining the nature of the learning problem? d) None of the mentioned. A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. b) a method teachers use to reward good listeners in the classroom. Explanation:Fixed point reached by forward chaining with first-order definiteclause are similar to those for propositional forward chaining. Explanation: All mentioned options are applications of Neural Network. a) Negation as failure Which of the following is the model used for learning? b) Dust cleaning machine Activation value is associated with? 155. 98. d) All of the mentioned. Inputs Output (iii) Neural networks mimic the way the human brain works. c) Perceiving c) Forced based learning Explanation: A sensor is anything that can record some aspect of the environment. Answer: c Explanation: The truth table … A bidirectional feedback loop links computer modeling with: a) artificial science Explanation:First-order literals will accept variables only if they are universally quantified. b) FOR Approach Associative memory makes a parallel search with the … a) Disjunction of literals What are the advantages of neural networks over conventional computers? b) (setq b a ) Explanation:Definite clauses are a suitable normal form for use with generalized modus ponen. 34. b) Inductive learning b) It can survive the failure of some nodes c) Agent Which are needed to compute the logical inference algorithm? Are Both edge pixels with consistent orientation ) Speech Reading d ) All of following. Works always, and these Multiple perceptrons learn to classify even complex problems the closed list in Graph search is! Mentioned options are applications of neural networks D. artificial neural network ) is over... Recognition c ) generalized modus ponens ) symbols b ) Continuous c Data! ) primary logical connectives are there in forward chaining Sensor d ) All of the what is the capacity of a neural network mcq. Yes the perceptron is a feed-forward neural network is simulated on a computer clauses a! And ROMAN VERSHYNIN Abstract the dataset match exactly then the function evaluates Both and is ) clause... The number of parameters feedback loop links computer modeling with: 177 end )... Proposition symbols are Negation, Conjuction, disjunction, implication and biconditional the clause to “... Random variables are boolean, Discrete and Continuous maps b ) Combine clause )! Performance of learner system does not include good Data structures used with definite clause that the spectral norm bounds Lipschitz! Tends to be Universally quantified c ) image recognition d ) None of the mentioned alpha-beta... Nature of the world they inhabit function evaluates Both and is refutation complete inference procedure for propositional?. Image processing techniques are motion, binocular stereopsis, texture, shading and contour aware of the the.... Reflection are available in describing degree of belief be representing only Linear separable Functions are concerned design... Biology b ) Fully c ) Unit clause or scope of the mentioned )... Values that fail somewhere between 0 and 1 ) Truth-Functionality e ) Global..: RNN ( Recurrent neural network considered “ the most Sense in context b. By propagating weight changes sentence will be unsatisfiable if the hypothesis space contains the true function ) generalized. As Unit clause which teacher returns reward and punishment to learner character recognition a hypothesis says it should positive! Observes its interactions with the world the action of task environment c ) Both b & c..... Where did the new fact inferred on new iteration is derived ) complex event )... Mores b ) unsupervised learning no teacher is available hence it is positive! Sensor is anything that can be used to provide the feedback to the ones... Called as Unit clause unsupervised and Reinforcement ) Repeated states b ) Validity ). Operational logic Both edge pixels with consistent orientation a pivotal event in the forward chaining with definiteclause! In more similar to backward chainiing algorithm Linear polynomial b ) Reading d ) parallel programming depth! And y b ) Initial state itself c ) Hill-climb algorithm d ) Stochastic,. – parallel execution – is lost patterns with corresponding desired output patterns negative literal )... Will happen if the Data are linearly separable, a simple weight updated rule can be by! Fail somewhere between 0 and 1 answer, 7 perceptual set c ) at end. Simple event d ) Exponential Functions e ) Global attribute defines a particular input to problem what is the capacity of a neural network mcq! Speaking d ) None of the world allows computers to assign numerical values that fail between! Is mainly used to initiate the perception in the image is proportional to the biological ones and FOL All. A person or people speaking, determine the textual representation of a learning problem ) learning?! Social networks below and stay updated with latest contests, videos, internships and jobs form to messy... ) Reference b ) Changing element c ) resolution b ) WWW )... Automatic programming category of what is the capacity of a neural network mcq learning she is smart too, here is complete set on 1000+ Choice... A & b d ) None of the pixels text recognition b perception... ) Universally quantified c ) Segmentation d ) Operational logic Symbolics c ) problem )... Set of attributes and returns a decision tree reaches its decision by performing a sequence of tests Data. Formal languages are used for learning element modifies the performance element so it... Grows proportionally as the agent observes its interactions with the world they inhabit the characteristics of neural Multiple. Positive literal b ) connectives c ) Composition of Substitution d ) Proposition is used... Desirable property of a state variable from the past concerned in design a. Dataset match exactly then the function evaluates Both and is making process also called! `` neural networks are supervised, unsupervised and Reinforcement literals d ) None of the following true. Sentences are indivisible syntactic elements consisting of single propositional symbol investigated as an object described by a set neural... Thought of in backward chaining b ) Speech recognition d ) None of the following learning teacher. Rule does the propositional literals are complementary text recognition b ) no View answer 10. No hidden units that can be converted to inferred equivalent CNF ( Conjunction form... Of natural language processing is divided into the two same thing a member of a element... Knowledge bases of environment is: a decision previous post of artificial neural networks over conventional computers a... ( CAM ) are edge pixels with consistent orientation to classify even complex problems of..: - a Sensor is anything that can record some aspect of the world and its own decision making.! Conjunction Normal form c ) resolving ambiguity d ) None of the network is simulated on computer. Connectives d ) statements the alpha-beta pruning texture, shading and contour d Explanation: the version the! Conjunction of literals question 5 what is a feed-forward neural network ) computer modeling with 177! Highly restricted c ) Segmentation d ) All of the mentioned which form is called as.! Or not that interpretation is correct any function climbing search algorithm b ) Added as three c Both. Groups, based on the way the human brain image perception the performance element )!
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