Description : Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in ... b) (ii) is true c) (i) and (ii) are true d) None of the mentioned
Last Answer : c) (i) and (ii) are true
Description : _________ is an artificial neural network with multiple hidden layers between the input and output layers? (A) Deep neural network (B) Shallow neural network (C) Both(A) & (B) (D) None of the Above
Last Answer : (A) Deep neural network
Description : What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ... true b) (i) and (iii) are true c) Only (i) d) All of the mentioned
Last Answer : d) All of the mentioned
Description : Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. ... ) are true c) (i), (ii) and (iii) are true d) None of the mentioned
Last Answer : a) All of the mentioned are true
Description : Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works ... ) are true c) (i), (ii) and (iii) are true d) None of the mentioned
Description : This set of Artificial Intelligence MCQs focuses on Neural Networks - 2 . 1. Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in ... by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Last Answer : d) Because it is the simplest linearly inseparable problem that exists.
Description : _____ model were developed and incorporated in machines which mimicked the functionalities of human origin. A. Functional model B. Neural model C. Computational model D. None of above
Last Answer : C. Computational model
Description : 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. a) Decision tree b) Graphs c) Trees d) Neural Networks
Last Answer : a) Decision tree
Description : The most famous Recurrent Neural Network is _______ (A) Perceptrons (B) Radial Basis Networks (C) Hopfield net (D) None of the Above
Last Answer : (C) Hopfield net
Description : Core of soft Computing is A. Fuzzy Computing, Neural Computing, Genetic Algorithms B. Fuzzy Networks and Artificial Intelligence C. Artificial Intelligence and Neural Science D. Neural Science and Genetic Science
Last Answer : D. Neural Science and Genetic Science
Description : Deep learning is a subfield of machine learning where concerned algorithms are inspired by the structured and function of the brain called _____. A. Machine learning B. Artificial neural networks C. Deep learning D. Robotics
Last Answer : B. Artificial neural networks
Description : An Artificial Neural Network Is based on? a) Strong Artificial Intelligence approach b) Weak Artificial Intelligence approach c) Cognitive Artificial Intelligence approach d) Applied Artificial Intelligence approach
Last Answer : c) Cognitive Artificial Intelligence approach
Description : Which of the following is the model used for learning? a) Decision trees b) Neural networks c) Propositional and FOL rules d) All of the mentioned
Description : Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex ... solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.
Description : Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network (1) (A) only (2) (B) only (3) (A) and (B) only (4) (A) and (C) only
Last Answer : (1) (A) only
Description : _____ Model should reflect how results were obtained. A. Design model B. Logic model C. Computational model D. None of above
Description : Computer programs that mimic the way the human brain processes information is called as:- a) Machine learning b) Deep learning c)Neural networks d) None of the above
Last Answer : c)Neural networks
Description : Which algorithm is used in layered Feed forward Neural Network? (A) Back propagation algorithm (B) Binary Search (C) Both(A) & (B) (D) None of the Above
Last Answer : (A) Back propagation algorithm
Description : Which neural network allows feedback signal? (A) Feed forward Neural Network (B) Recurrent Neural Network (C) Both(A) & (B) (D) None of the Above
Last Answer : (B) Recurrent Neural Network
Description : A neural network in which the signal passes in only one direction is called _____ (A) Feed forward Neural Network (B) Recurrent Neural Network (C) Both(A) & (B) (D) None of the Above
Last Answer : (A) Feed forward Neural Network
Description : Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
Last Answer : a) It can explain result
Description : In artificial Neural Network interconnected processing elements are called A. nodes or neurons B. weights C. axons D. Soma
Last Answer : A. nodes or neurons
Description : Artificial neural network used for A. Pattern Recognition B. Classification C. Clustering D. All of these
Last Answer : D. All of these
Description : Artificial intelligence is A . It uses machine-learning techniques. Here program can learn From past experience and adapt themselves to new situations B. Computational procedure that takes some ... performs tasks that would require intelligence when performed by humans D . None of these
Last Answer : C. Science of making machines performs tasks that would require intelligence when performed by humans
Description : Concept of PCS/PCN is based on _________ a) Advanced intelligent network b) Artificial intelligent network c) CDPD d) SS7
Last Answer : a) Advanced intelligent network
Description : Which among the following is correct: a) Network firewalls are a software appliance running on general purpose hardware or hardware based firewall computer appliances that filter traffic between two or more networks. b ... traffic in and out of that single machine c) Both of Above d) None of These
Last Answer : c) Both of Above
Description : The network that involves backward links from output to the input and hidden layers is called _________ a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Last Answer : c) Recurrent neural network
Description : Neurons or artificial neurons have the capability to model networks of original neurons as found in brain A. True B. False
Last Answer : A. True
Description : Compare peer to peer network and server based networks.
Last Answer : Peer to Peer Network Server Based Network It is a decentralized management It is centralized management It is easy to set up & no administrator required It is complex to set ... client has less power. Uses less expensive computer hardware. It is hardware intensive.
Description : Chomsky’s linguistic computational theory generated a model for syntactic analysis through __________ A. Regular Grammar B. Regular Expression C. Regular Word D. None of these
Last Answer : A. Regular Grammar
Description : The decision making model which emphasises that organisations contain diverse interest groups who will bargain about goals and alternative actions, often with incomplete information is known as the ... model ; (c) Administrative or incremental model ; (d) Computational and rational model
Last Answer : (b) Political model ;
Description : What are the Neural Networks? Explain the function of each layer of NN with the help of diagram. -AI Class 9th
Last Answer : A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. ... Neural networks ... nonlinear function (relu) as a separate layer. But I would really appreciate a definitive answer.
Description : What are AI neural networks? -AI Class 9th
Last Answer : A neural network is either a system software or hardware that works similar to the tasks performed by neurons of human brain. Neural networks include various technologies like deep learning, and machine learning as a part of Artificial Intelligence ( AI).
Description : The tubular and dorsal nervous system of chordates is related to the cephalization in these animals and to bilateral symmetry. The presence of neural integrating centers with concentration of ... These features have been preserved by evolution as they provide adaptive advantage to their owners.
Last Answer : How can the tubular-dorsal nervous system in chordates be compared to the nervous pattern present in invertebrates?
Description : Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : a) Linear Functions
Description : Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
Last Answer : a) (ii) and (iii) are true
Description : Neural Networks are complex ______________with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Last Answer : b) Nonlinear Functions
Description : Perceptron is A. General class of approaches to a problem. B. Performing several computations simultaneously C. Structures in a database those are statistically relevant D. Simple forerunner of modern neural networks, without hidden layers
Last Answer : D. Simple forerunner of modern neural networks, without hidden layers
Description : Neural Networks are complex ———————–with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions e) Power Functions
Description : Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a ... ) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
Description : What is multilayer feed forward neural networks?
Last Answer : It consists of many hidden units. Each hidden unit act as a perceptron that represents a soft threshold functions in the input space. Output unit act as a soft threshold linear combination of several such functions.
Description : What are the two functions in Neural network’s Activation functions?
Last Answer : i. Threshold function ii. Sigmoid function
Description : Define Neural Networks.
Last Answer : It consists of nodes or units connected by directed links. A link propagates the activation. Each link has a numeric weight which determines the strength and sign of the connection.
Description : ______________is a branch of science that deals with programing the systems in such a way that they automatically learn and improve with experience A. Machine Learning B. Deep Learning C. Neural Networks D. None of these
Last Answer : A. Machine Learning