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

1 Answer

Answer :

b) Heaviside function

Related questions

Description : 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 b) False c) Sometimes – it can also output intermediate values as well d) Can’t say

Last Answer : a) True

Description : The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function

Last Answer : b) Heaviside function

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 : 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 : 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 : . 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 : 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 : 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

Last Answer : b) Specific output values are not given

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 : 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 : 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 : 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

Last Answer : a) Feed-forward 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

Last Answer : c) Recurrent neural network

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.

Last Answer : 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

Last Answer : a) a single layer feed-forward neural network with pre-processing

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 : 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 :  A function point is a measure of program size based on the number and complexity of  inputs, outputs, queries, files and program interfaces.

Last Answer : Ans: True

Description : A(n) ____________ is a measure of program size based on the number and  complexity of inputs, outputs, queries, files, and program interfaces.  a. function point  b. line of code  c. project plan  d. standard module  e. workplan

Last Answer : a. function point

Description : Consider a project with the following functional units : Number of user inputs = 50 Number of user outputs = 40 Number of user enquiries = 35 Number of user files = 06 Number of external interfaces = 04 ... average, the function points for the project will be (A) 135 (B) 722 (C) 675 (D) 672

Last Answer : (D) 672

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 : 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 : 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 : 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 : 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 : In LISP, the function returns t if is a CONS cell and nil otherwise ________ a) (cons ) b) (consp ) c) (eq ) d) (cous =)

Last Answer : b) (consp )

Description : In LISP, the function returns t if is even and nil otherwise ___________ a) (evenp ) b) (even ) c) (numeven ) d) (numnevenp )

Last Answer : a) (evenp )

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 : 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 : 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 : 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 : 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 : 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 : 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

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 : What is a firm? a. A president, some vice presidents, and some employees b. Any organization that wants to make a profit. c. Any accumulation of productive assets. d. Any organization that turns inputs into outputs

Last Answer : d. Any organization that turns inputs into outputs

Description : How many inputs and outputs are possible with a differential amplifier?

Last Answer : Two inputs, two outputs.

Description : Plant P Plant Producti roductivity is: vity is: a)Productivity = Inputs/Outputs b)Productivity = lnputs*Outputs c)Productivity = Outputs//lnputs d) None of the above

Last Answer : c)Productivity = Outputs//lnputs

Description : A measure A measure of the success of an success of an operation in converting operation in converting inputs to inputs to outputs is outputs is a. Efficiency b. Effectiveness Effectiveness c. Quality d. Profitability

Last Answer : a. Efficiency