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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 : 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 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 : _________ 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 : _________ is a computational model based on the structure of biological neural networks? (A) Artificial Neural Network (ANN) (B) Biological Network (C) Both(A) & (B) (D) None of the Above
Last Answer : (A) Artificial Neural Network (ANN)
Description : Which of the following is/are application(s) of Neural Network? (A) Pattern recognition (B) Mobile Computing (C) Speech reading(Lip-reading) (D) All of the Above
Last Answer : (D) All of the Above
Description : The given illustrative diagram is related to which topic? a) Machine Learning b) Neural Network Processing c) Reasoning d) Deep learning
Last Answer : a) Machine Learning
Description : he given illustrative diagram is related to which topic? a) Machine Learning b) Neural Network Processing c) Reasoning d) Deep learning
Last Answer : Machine Learning
Description : The goal is for the software to use what is it is was learned in one area to solve problem in other area. (a) Machine learning (b) Deep learning (c) Neural network (d) All of above
Last Answer : (b) Deep learning
Description : A backward feed multiple effect evaporator is better than forward feed for concentrating cold feed, because it provides (A) Higher economy (B) Lower capacity (C) Both (A) & (B) (D) Lower economy
Last Answer : (A) Higher economy
Description : A chemical signal that has both endocrine and neural roles is :
Last Answer : A chemical signal that has both endocrine and neural roles is : A. Cortisol B. Melatonin. C. Calcitonin D. Epinephrine
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 : 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 : Assertion `:-` Pneumotaxic centre can moderate the functions of the respiratory rhythm centre. Reason `:-` Neural signal from pneumotoxic centre can r
Last Answer : Assertion `:-` Pneumotaxic centre can moderate the functions of the respiratory rhythm centre. Reason `:- ... D. If both Assertion & Reason are false.
Description : In a Doppler VOR (DVOR) the reference signal is _____, the bearing signal is ______ and the direction of rotation of the bearing signal is ______. a. AM, FM, anti-clockwise b. AM, FM, clockwise c. FM, AM, anti-clockwise d. FM, AM, clockwise
Last Answer : a. AM, FM, anti-clockwise
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 : Which of the following is correct about Star Topology: a) Data on a star network passes through the hub, swithc or concentrator before continuing to its destination. b) The hub, switch or concentrator manages and ... connecting all of the systems to a central node. d) All of Above e) None of These
Last Answer : d) All of Above
Description : A man carrying a load on his back bends forward because of one of the following reasons: (a) To adjust the centre of gravity of the system such that the vertical line through the centre of gravity ... slipping over and falling down (d) To keep the centre of gravity of the system outside the body
Last Answer : Ans:(a)
Description : At the completion of the forward and backward passes, the slack for an activity is given by the a. Difference between early start and early finish b. Difference between early start and ... c. Difference between latest start and early finish d. Difference between latest start and latest finish
Last Answer : c. Difference between latest start and early finish
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 : _____ AI is able to perform dedicated task. A. Narrow AI B. General AI C. Neural AI D. None of above
Last Answer : A. Narrow AI
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 : How do I program a neural network from scratch using Java?
Last Answer : There are many implementations of neural networks... What will you be using it for? I wrote a fairly simple one in college in Java just using basic data types. Can you give me some more info?
Description : What is a neural network ?
Last Answer : Answer : A neural network is a type of artificial intelligence that attempts to mimic the way the human brain works. Instead of using digital models (where everything is ... Processing Voice Recognition Signature Verification Investment Forecasting Data Mining ফ Manufacturing Quality Control
Description : Organised network of neural system, which provides quick coordination through
Last Answer : Organised network of neural system, which provides quick coordination through
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
Last Answer : d) All of the mentioned
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 : 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.
Last Answer : d) Because it is the simplest linearly inseparable problem that exists.
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 : 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 : 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 : 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 : Artificial neural network used for A. Pattern Recognition B. Classification C. Clustering D. All of these
Last Answer : D. All of these
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 : 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.
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 : 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