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Recent questions tagged neural-network
2
votes
1
answer
1
UGC NET CSE | June 2019 | Part 2 | Question: 98
Which of the following is an example of unsupervised neural network? Back-propagation network Hebb network Associative memory network Self-organizing feature map
Arjun
asked
in
Artificial Intelligence
Jul 2, 2019
by
Arjun
3.1k
views
ugcnetcse-june2019-paper2
artificial-intelligence
neural-network
3
votes
3
answers
2
ISRO2018-75
ln neural network, the network capacity is defined as: The traffic (tarry capacity of the network The total number of nodes in the network The number of patterns that can be stored and recalled in a network None of the above
Arjun
asked
in
Artificial Intelligence
Apr 22, 2018
by
Arjun
2.6k
views
isro2018
non-gate
neural-network
0
votes
1
answer
3
Uttrakhand Asst. Professor Exam-24
Which of the following can be an application of neural network ? Sales forecasting Data validation Risk management All of the above
gatecse
asked
in
Unknown Category
Mar 2, 2018
by
gatecse
2.6k
views
uttarakhand-asst-prof-2018
neural-network
0
votes
0
answers
4
UGC NET CSE | December 2008 | Part 2 | Question: 49
An example of a data mining algorithm which uses squared error score function is : CART algorithm back propagation algorithm a priori algorithm vector space algorithm
rishu_darkshadow
asked
in
Computer Networks
Sep 26, 2017
by
rishu_darkshadow
616
views
ugcnetcse-dec2008-paper2
neural-network
data-mining-algorithm
1
vote
1
answer
5
UGC NET CSE | August 2016 | Part 3 | Question: 66
Let R and S be two fuzzy relations defined as and Then, the resulting relation, $T$, which relates elements of universe of $X$ to elements of universe of $Z$ using max-product composition is given by
makhdoom ghaya
asked
in
Others
Oct 4, 2016
by
makhdoom ghaya
1.6k
views
ugcnetcse-aug2016-paper3
neural-network
fuzzy-relations
2
votes
1
answer
6
UGC NET CSE | August 2016 | Part 3 | Question: 64
What are the following sequence of steps taken in designing a fuzzy logic machine ? Fuzzification $\rightarrow$ Rule evaluation $\rightarrow$ Defuzzification Fuzzification $\rightarrow$ Defuzzification $\rightarrow$ ... $\rightarrow$ Fuzzification $\rightarrow$ Defuzzification Rule evaluation $\rightarrow$ Defuzzification $\rightarrow$ Fuzzification
makhdoom ghaya
asked
in
Others
Oct 4, 2016
by
makhdoom ghaya
2.8k
views
ugcnetcse-aug2016-paper3
neural-network
fuzzy-logic
3
votes
1
answer
7
UGC NET CSE | December 2014 | Part 3 | Question: 70
Consider the following statements about a perception : $I$. Feature detector can be any function of the input parameters. $II$. Learning procedure only adjusts the connection weights to the output layer. Identify the correct statement out of the following : $I$ is ... $II$ is false. $ I$ is false and $II$ is true. $I$ is true and $II$ is true.
makhdoom ghaya
asked
in
Data Mining and Warehousing
Aug 2, 2016
by
makhdoom ghaya
3.4k
views
ugcnetcse-dec2014-paper3
neural-network
perceptron
4
votes
3
answers
8
UGC NET CSE | Junet 2015 | Part 3 | Question: 72
Suppose the function y and a fuzzy integer number around - 4 for x are given as $y=(x-3)^2 + 2$. Around - 4 ={(2, 0.3), (3, 0.6), (4, 1), (5, 0.6), (6, 0.3)} respectively. Then f(Around-4) is given by {(2, 0.6), (3, 0.3), (6, 1), (11, 0.3)} {(2, 0.6), (3, ... (11, 0.3)} {(2, 0.6), (3, 1), (6, 0.6), (11, 0.3)} {(2, 0.6), (3, 0.3), (6, 0.6), (11, 0.3)}
go_editor
asked
in
Others
Aug 2, 2016
by
go_editor
7.0k
views
ugcnetcse-june2015-paper3
fuzzy-set
neural-network
4
votes
1
answer
9
UGC NET CSE | Junet 2015 | Part 3 | Question: 71
Let A and B be two fuzzy integers defined as: A={(1.0.3), (2, 0.6), (3, 1), (4, 0.7), (5, 0.2)} B={(10, 0.5), (11, 1), (12, 0.5)} Using fuzzy arithmetic operation given by $\mu_{A+B^{(Z)}} = \underset{x+y=z}{\oplus} (\mu_A (x) \otimes \mu_B(y))$ ... , 0.5), (17, 0.2)} {(11, 0.3), (12, 0.5), (13, 0.6), (14, 1), (15, 0.7), (16, 0.5), (17, 0.2)}
go_editor
asked
in
Others
Aug 2, 2016
by
go_editor
5.5k
views
ugcnetcse-june2015-paper3
fuzzy-set
neural-network
3
votes
2
answers
10
UGC NET CSE | Junet 2015 | Part 3 | Question: 70
Consider the two class classification task that consists of the following points: Class $C_1$ : [1 1.5] [1 -1.5] Class $C_2$ : [-2 2.5] [-2 -2.5] The decision boundary between the two classes using single perceptron is given by: $x_1+x_2+1.5=0$ $x_1+x_2-1.5=0$ $x_1+1.5=0$ $x_1-1.5=0$
go_editor
asked
in
Others
Aug 2, 2016
by
go_editor
4.1k
views
ugcnetcse-june2015-paper3
fuzzy-set
neural-network
0
votes
1
answer
11
UGC NET CSE | September 2013 | Part 3 | Question: 28
In a single perceptron, the updation rule of weight vector is given by $w(n+1) = w(n) + \eta [d(n)-y(n)]$ $w(n+1) = w(n) - \eta [d(n)-y(n)]$ $w(n+1) = w(n) + \eta [d(n)-y(n)]*x(n)$ $w(n+1) = w(n) - \eta [d(n)-y(n)]*x(n)$
go_editor
asked
in
Artificial Intelligence
Jul 24, 2016
by
go_editor
3.1k
views
ugcnetcse-sep2013-paper3
neural-network
machine-learning
1
vote
1
answer
12
UGC NET CSE | September 2013 | Part 3 | Question: 27
Support of a fuzzy set $A= \big\{ \frac{x_1}{0.2}, \frac{x_2}{0.15}, \frac{x_3}{0.9}, \frac{x_4}{0.95}, \frac{x_5}{0.15} \big \}$ ... $\{x_3, x_4 \}$ $\{x_1, x_2, x_3, x_4, x_5\}$
go_editor
asked
in
Others
Jul 24, 2016
by
go_editor
3.6k
views
ugcnetcse-sep2013-paper3
neural-network
fuzzy-set
0
votes
1
answer
13
UGC NET CSE | September 2013 | Part 3 | Question: 26
Let A be a set of comfortable houses given as $A = \big\{ \frac{x_1}{0.8}, \frac{x_2}{0.9}, \frac{x_3}{0.1}, \frac{x_4}{0.7} \big \}$ ... $\big\{ \frac{x_1}{0.7}, \frac{x_2}{0.7}, \frac{x_3}{0.7}, \frac{x_4}{0.9} \big \}$
go_editor
asked
in
Others
Jul 24, 2016
by
go_editor
3.4k
views
ugcnetcse-sep2013-paper3
neural-network
fuzzy-logic
1
vote
1
answer
14
UGC NET CSE | June 2013 | Part 3 | Question: 75
Consider a single perception with weights as given in the following figure: and $f(t)$ is defined as $f(t) \bigg\{ 1, t>0 \: 0, t \leq 0$ The above perception can solve OR problem AND problem XOR problem All of the above
go_editor
asked
in
Others
Jul 19, 2016
by
go_editor
3.4k
views
ugcnetcse-june2013-paper3
neural-network
single-layer-perceptron
1
vote
1
answer
15
UGC NET CSE | June 2013 | Part 3 | Question: 74
If A and B are two fuzzy sets with membership functions $\mu _A (x)=\{0.6,0.5,0.1,0.7,0.8\}$ $\mu_B(x)=\{0.9, 0.2, 0.6, 0.8, 0.5\}$ Then the value of $\mu_{\overline{A \cup B} }(x)$ will be $\{0.9, 0.5, 0.6, 0.8, 0.8\}$ $\{0.6, 0.2, 0.1, 0.7, 0.5 \}$ $\{0.1, 0.5, 0.4, 0.2, 0.2\}$ $\{0.1, 0.5, 0.4, 0.2, 0.3 \}$
go_editor
asked
in
Others
Jul 19, 2016
by
go_editor
11.2k
views
ugcnetcse-june2013-paper3
neural-network
fuzzy-set
2
votes
1
answer
16
UGC NET CSE | June 2013 | Part 3 | Question: 73
A fuzzy set A on R is ______ iff $A(\lambda x_1 + (1- \lambda)x_2) \geq min [A(x_1), A(x_2)]$ for all $x_1, x_2 \in R$ and all $\lambda \in [0,1]$ where minimum denotes the minimum operator. Support $\alpha$ - cut Convex Concave
go_editor
asked
in
Others
Jul 19, 2016
by
go_editor
2.7k
views
ugcnetcse-june2013-paper3
neural-network
fuzzy-set
1
vote
1
answer
17
UGC NET CSE | December 2012 | Part 3 | Question: 9
You are given an OR problem and XOR problem to solve. Then, which one of the following statements is true? Both OR and XOR problems can be solved using single layer perception OR can be solved using single layer ... single layer perception OR can be solved using single layer perception and XOR problem can be solved using radial basis function
go_editor
asked
in
Artificial Intelligence
Jul 12, 2016
by
go_editor
2.6k
views
ugcnetcse-dec2012-paper3
artificial-intelligence
neural-network
3
votes
3
answers
18
ISRO2011-2
Which of the following is an unsupervised neural network? RBS Hopfield Back propagation Kohonen
Anuanu
asked
in
Artificial Intelligence
Jun 15, 2016
by
Anuanu
4.3k
views
isro2011
neural-network
non-gate
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