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

1 Answer

Answer :

b) Heaviside function

Related questions

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 : 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.

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Last Answer : c) Recurrent neural network

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 : 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 : 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 : 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

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Last Answer : A. develop market strategy

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Description : Breadth-first search is not optimal when all step costs are equal, because it always expands the shallowest unexpanded node. a) True b) False

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Description : When is breadth-first search is optimal? a) When there is less number of nodes b) When all step costs are equal c) When all step costs are unequal

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Description : What is the basic EBL process step?

Last Answer : i. Construct a proof using the available background knowledge.  ii. Construct a generalized proof tree for the variabilized goal using the same inference steps as in the original proof.  iii. Construct a new ... tree and R.H.S is the variabilized goal.  iv. Drop any conditions that are true.

Description : Perceptron learning, Delta learning and LMS learning are learning methods which falls under the category of (A) Error correction learning – learning with a teacher (B) Reinforcement learning – learning with a critic (C) Hebbian learning (D) Competitive learning – learning without a teacher

Last Answer : (A) Error correction learning – learning with a teacher

Description : Consider the two class classification task that consists of the following points: Class C1: [1 1.5] [1 -1.5] Class C2: [-2 2.5] [-2 -2.5] The decision boundary between the two classes using single perceptron is given by: (A) x1+x2+1.5=0 (B) x1+x2-1.5=0 (C) x1+1.5=0 (D) x1-1.5=0

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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

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Description : What is roro system in logistic management?

Last Answer : Hello! I have an MBA in foreign trade and logistics, hope the explanation below helps! There are different types of freight transport, but today in Stock Logistic we are going to talk about the transport ... loading with the same means. You can make the most of the space available inside the ship.

Description : When does the growth rate of a population following the logistic model equal zero ? The logistic model is given as dN/dt = rN(1-N/K):

Last Answer : When does the growth rate of a population following the logistic model equal zero ? The logistic ... when death rate is greater than birth rate.

Description : What are the principles of logistic costing?

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Description : How does logistic software support business functions?

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