Description : What is the name of the function in the following statement “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) Step function b) Heaviside function c) Logistic function d) Perceptron function
Last Answer : b) Heaviside function
Description : . In an Unsupervised learning ____________ a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given
Last Answer : b) Specific output values are not given
Description : In an Unsupervised learning a) Specific output values are given b) Specific output values are not given c) No specific Inputs are given d) Both inputs and outputs are given e) Neither inputs nor outputs are given
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 : Value added is: a) the cost saving through production and marketing efforts within the firm. b) the value that a firm adds through the development of dynamic capabilities. c) the value that a ... through outsourcing. d) the difference between the cost of inputs and the market value of outputs
Last Answer : the difference between the cost of inputs and the market value of outputs
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 : Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. ... have to be explicitly hand-coded d) False - just having a single perceptron is enough
Last Answer : c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded
Description : Which were built in such a way that humans had to supply the inputs and interpret the outputs? a) Agents b) AI system c) Sensor d) Actuators
Last Answer : b) AI system
Description : Gross National Product means - (1) gross value of finished goods (2) money values of the total national production for any given period (3) gross value of raw materials and semifinished products (4) money value of inputs and outputs
Last Answer : (2) money values of the total national production for any given period Explanation: Gross national product (GNP) is the market/monetary value of all products and services produced in one year by labour and property supplied by the residents of a country.
Description : Gross National Product means (1) gross value of finished goods (2) money values of the total national production for any given period (3) gross value of raw materials and semi-finished products (4) money value of inputs and outputs
Last Answer : money values of the total national production for any given period
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 : 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 : Design a asynchronous sequential circuit with 2 inputs T and C. The output attains a value of 1 when T = 1 & c moves from 1 to 0. Otherwise the output is 0
Last Answer : • Obtain the state diagram • Obtain the flow table • Using implication table reduce the flow table • Using merger graph obtain maximal compatibles • Verify closed & covered conditions • Plot the reduced flow table • Obtain transition table • Excitation table • Logic diagram
Description : One feature of the operational amplifier is that it can have ____________. A. up to ten outputs B. binary coded decimal inputs C. several hundred amps at the output D. inverting and non-inverting inputs
Last Answer : Answer: D
Description : A full adder logic circuit will have (A) Two inputs and one output. (B) Three inputs and three outputs. (C) Two inputs and two outputs. (D) Three inputs and two outputs.
Last Answer : Ans: D A full adder circuit will add two bits and it will also accounts the carry input generated in the previous stage. Thus three inputs and two outputs (Sum and Carry) are there.
Description : List typical inputs and outputs for PLC (four input and any four output).
Last Answer : Typical PLC inputs Push Button Selector Switch Proximity switch FOOT switch, level switch Analog input Typical PLC outputs Contactor Coil, solenoid, relay Indicating Lamp Buzzer Alaram annunciator
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 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 : 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 : 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 : The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
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 : 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 : 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 : A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123
Last Answer : a) 238
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 : Various Organizational routines & processes that determines how efficiently and effectively the Organization transforms it’s inputs into outputs is called: A. Strength B. Core Competencies C. Capabilities D. Customer Value
Last Answer : Core Competencies
Description : A perceptron has input weights W1 = -3.9 and W2 = 1.1 with threshold value T = 0.3. What output does it give for the input x1 = 1.3 and x2 = 2.2? (A) -2.65 (B) -2.30 (B) 0 (D) 1
Last Answer : Answer: C
Description : The minimax algorithm computes the minimax decision from the current state. It uses a simple recursive computation of the minimax values of each successor state, directly implementing the defining equations. The ... are backed up through the tree as the recursion unwinds. a) True b) False
Last Answer : a) True
Description : State True or False. i) In spooling high speed device like a disk is interposed between running program and low-speed device in Input/output. ii) By using spooling for example instead of writing directly to a printer, ... ii-False B) i-True, ii-True C) i-False, ii-True D) i-False, ii-False
Last Answer : B) i-True, ii-True
Description : Point out the wrong statement. a) The Mapper outputs are sorted and then partitioned per Reducer b) The total number of partitions is the same as the number of reduce tasks for the job c) The intermediate, ... always stored in a simple (key-len, key, value-len, value) format d) None of the mentioned
Last Answer : None of the mentioned
Description : The BACKTRACKING-SEARCH algorithm in Figure 5.3 has a very simple policy for what to do when a branch of the search fails: back up to the preceding variable and try a different value for it. This is ... also possible to go all the way to set of variable that caused failure. a) True b) False
Description : Zero sum games are the one in which there are two agents whose actions must alternate and in which the utility values at the end of the game are always the same. a) True b) False
Last Answer : b) False
Description : Which is used for utility functions in game playing algorithm? a) Linear polynomial b) Weighted polynomial c) Polynomial d) Linear weighted polynomial
Last Answer : d) Linear weighted polynomial
Description : How the distance between two shapes can be defined? a) Weighted sum of the shape b) Size of the shape c) Shape context d) None of the mentioned
Last Answer : a) Weighted sum of the shape
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 : In a backward chaining system you start with the initial facts, and keep using the rules to draw new conclusions (or take certain actions) given those facts. a) True b) False
Description : The problem-solving agent with several immediate options of unknown value can decide what to do by just examining different possible sequences of actions that lead to states of known value, and then choosing the ... . This process of looking for such a sequence is called Search. a) True b) False
Description : How many inputs and how many outputs of NOT gate ?
Last Answer : NOT Gate has one input and one output.
Description : What are the inputs and outputs of a toaster?
Last Answer : Need answer
Description : What is a mapping between a set of inputs and a set of outputs?
Last Answer : It is simply a mapping. It could be a function but there areseveral conditions that need to be met before the mapping canbecome a function and there is no basis for assuming that thoseconditions are met.
Description : Transformation of physical inputs into physical outputs is termed as
Last Answer : Ans. Production
Description : Production Function relates to: (1) costs to outputs (2) costs to inputs (3) inputs to outputs (4) wage level to profits
Last Answer : (3) inputs to outputs Explanation: In microeconomics and macroeconomics, a production function is a function that specifies the out-put of a firm, an industry, or an entire economy for all ... in the use of factor inputs in production and the resulting distribution of income to those factors.
Description : Which one of the following statements best defines procurement? a. A technique to establish the best approach for obtaining the resources for the project. b. A group of interrelated resources and ... product. d. The process by which products and services required for the project are acquired.
Last Answer : d. The process by which products and services required for the project are acquired.
Description : ____ and ____ refer to the mechanism applied to the inputs to create the desired outputs.
Last Answer : Ans. Tools and techniques