Description : ANN is composed of large number of highly interconnected processing elements(neurons) working in unison to solve problems. A. True B. False C. D.
Last Answer : A. True
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 : 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 : What is Neuro software? a) A software used to analyze neurons b) It is powerful and easy neural network
Last Answer : b) It is powerful and easy neural network
Description : Neuro software is: a) A software used to analyze neurons b) It is powerful and easy neural network c) Designed to aid experts in real world d) It is software used by Neuro surgeon
Description : Each connection link in ANN is associated with ________ which has information about the input signal. A. neurons B. weights C. bias D. activation function
Last Answer : B. weights
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 : Artificial neural network used for A. Pattern Recognition B. Classification C. Clustering D. All of these
Last Answer : D. All of these
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 : What is an auto-associative network? a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
Last Answer : b) a neural network that contains feedback
Description : What is perceptron? a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
Last Answer : a) a single layer feed-forward neural network with pre-processing
Description : An auto-associative network is: a) a neural network that contains no loops b) a neural network that contains feedback c) a neural network that has only one loop d) a single layer feed-forward neural network with pre-processing
Description : A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
Description : (4) Fundamental unit of nervous system Explanation: A neuron is a cell that carries electrical impulses. Neurons are the basic units of the nervous system and its most important part is the brain. Every neuron is made of a cell body (also called a soma), dendrites and an axon.
Last Answer : Water cycle refers to - (1) an integrated attempt to recycle water in relatively arid regions (2) constant movement of water from ocean to land and back to ocean once again (3) ... management of water in areas excessively plagued with water-logging (4) water distribution in relatively dry area
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
Last Answer : d) All of the mentioned
Description : An artificial neurons receives n inputs x1, x2,...,xn with weights w1,w2,...,wn attached to the input links. The weighted sum ............... is computed to be passed on to a non-linear filter ϕ called activation function to release the output. (A) Σ wi (B) Σ xi (C) Σ wi + Σ xi (D) Σ wi . Σ xi
Last Answer : (D) Σ wi . Σ xi
Description : Neurons or artificial neurons have the capability to model networks of original neurons as found in brain A. True B. False
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 : 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 : Neural Computing A. mimics human brain B. information processing paradigm C. Both (a) and (b) D. None of the above
Last Answer : C. Both (a) and (b)
Description : Which of the following is regarded as a unit of nervous tissue? (a) Neurons (b) Myelin sheath (c) Axons (d) Dendrites
Last Answer : (a) Neurons
Description : Which of the following types of cells have a latent ability to regenerate? a) Stable Stable cells have a latent ability to regenerate if they are damaged or destroyed and are found in the ... a type of labile cell that multiply constantly to replace cells worn out by normal physiologic processes.
Last Answer : a) Stable Stable cells have a latent ability to regenerate if they are damaged or destroyed and are found in the kidney, liver, and pancreas, among other body organs.
Description : Myelin sheaths are found: a) surrounding tendons b) covering the brain c) covering muscles d) around axons of neurons
Last Answer : ANSWER: D -- AROUND AXONS OF NEURONS
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 : The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
Description : In most axons, the myelin sheath is interrupted at intervals of about 1 millimeter or more. These interruptions are called the: a) glial b) nodes of Ranvier (pron: ron-vee-ay) c) collaterals d) nodes of Babinet
Last Answer : ANSWER: B -- Nodes of Ranvier
Description : Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management 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 : A perceptron is a ______________ a) Feed-forward neural network b) Backpropagation algorithm c) Backtracking algorithm d) Feed Forward-backward algorithm
Last Answer : a) Feed-forward neural network
Description : Research scientists all over the world are taking steps towards building computers with circuits patterned after the complex interconnections existing among the human brain's nerve cells. What name ... ? a) Intelligent computers b) Supercomputers c) Neural network computers d) Smart computers
Last Answer : c) Neural network computers
Description : Three main basic features involved in characterizing membership function are A. Intution, Inference, Rank Ordering B. Fuzzy Algorithm, Neural network, Genetic Algorithm C. Core, Support , Boundary D. Weighted Average, center of Sums, Median
Last Answer : C. Core, Support , Boundary
Description : A Neural Network can answer A. For Loop questions B. what-if questions C. IF-The-Else Analysis Questions D.
Last Answer : B. what-if questions
Description : A perceptron is a ——————————–. a) Feed-forward neural network b) Back-propagation algorithm c) Back-tracking algorithm d) Feed Forward-backward algorithm e) Optimal algorithm with Dynamic programming
Description : Why are linearly separable problems of interest of neural network researchers? a) Because they are the only class of problem that network can solve successfully b) Because they are the only ... mathematical functions that are continue d) Because they are the only mathematical functions you can draw
Last Answer : b) Because they are the only class of problem that Perceptron can solve successfully
Description : What is single layer feed forward neural network?
Last Answer : A network with all the inputs connected directly to the outputs is called a single layer neural network or a perceptron networks.
Description : What are the categories of neural network structures?
Last Answer : i. Acyclic (or) Feed – forward networks ii. Cyclic (or) Recurrent Networks
Description : What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the ... the network to allow weights to be adjusted so that the network can learn d) None of the mentioned
Last Answer : c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
Description : What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the ... network to allow weights to be adjusted so that the network can learn. d) None of the mentioned
Last Answer : c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn.
Description : An Artificial Intelligence technique that allows computers to understand associations and relationships between objects and events is called _____________ a) heuristic processing b) cognitive science c) relative symbolism d) pattern matching
Last Answer : c) relative symbolism
Description : The basic inference mechanism in semantic network in which knowledge is represented as Frames is to follow the links between the nodes. a) True b) False
Last Answer : a) True
Description : Basic idea of an partitioned nets is to break network into spaces which consist of groups of nodes and arcs and regard each space as a node. a) True b) False
Description : The basic inference mechanism in semantic network is to follow the links between the nodes. a) True b) False
Description : A network with named nodes and labeled arcs that can be used to represent certain natural language grammars to facilitate parsing. a) Tree Network b) Star Network c) Transition Network d) Complete Network
Last Answer : c) Transition Network
Description : What is the field of Natural Language Processing (NLP)? a) Computer Science b) Artificial Intelligence c) Linguistics d) All of the mentioned
Description : A bidirectional feedback loop links computer modelling with: a. artificial science b. heuristic processing c. human intelligence d. cognitive science
Last Answer : d. cognitive science
Description : Internal state of neuron is called __________, is the function of the inputs the neurons receives A. Weight B. activation or activity level of neuron C. Bias D. None of these
Last Answer : B. activation or activity level of neuron
Description : Lower vertebrate in which neural organisation is very simple & composed of netwrk of neurons is
Last Answer : Lower vertebrate in which neural organisation is very simple & composed of netwrk of neurons is