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Recent questions tagged neuralnetwork
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1
Uttrakhand Asst. Professor Exam24
Which of the following can be an application of neural network ? Sales forecasting Data validation Risk management All of the above
asked
Mar 2, 2018
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Others
by
gatecse
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16k
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49
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uttarakhandasstprof2018
neuralnetwork
+1
vote
1
answer
2
UGC NET JULY 2016
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
asked
Nov 2, 2017
in
Others
by
Naqvi
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17
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316
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artificialintelligence
neuralnetwork
0
votes
1
answer
3
UGCNETdec2008ii49
An example of a data mining algorithm which uses squared error score function is: (A) CART algorithm (B) back propagation algorithm (C) a priority algorithm (D) vector space algorithm
asked
Sep 26, 2017
in
Computer Networks
by
rishu_darkshadow
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6.9k
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171
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ugcnetdec2008ii
neuralnetwork
dataminingalgorithm
+1
vote
1
answer
4
UGCNETAUG2016III66
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 maxproduct composition is given by
asked
Oct 4, 2016
in
Others
by
makhdoom ghaya
Boss
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29.3k
points)

503
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ugcnetaug2016iii
neuralnetwork
fuzzyrelations
+2
votes
1
answer
5
UGCNETAUG2016III64
What are the following sequence of steps taken in designing a fuzzy logic machine ? Fuzzification $\rightarrow$ Rule evaluation $\rightarrow$ Defuzzification Fuzzification $\rightarrow$ Defuzzification $\rightarrow$ Rule evaluation Rule evaluation $\rightarrow$ Fuzzification $\rightarrow$ Defuzzification Rule evaluation $\rightarrow$ Defuzzification $\rightarrow$ Fuzzification
asked
Oct 4, 2016
in
Others
by
makhdoom ghaya
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29.3k
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521
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ugcnetaug2016iii
neuralnetwork
fuzzylogic
+3
votes
1
answer
6
UGCNETDec2014III70
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 false and $II$ is false ... true and $II$ is false. $ I$ is false and $II$ is true. $I$ is true and $II$ is true.
asked
Aug 2, 2016
in
Knowledge Representation
by
makhdoom ghaya
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29.3k
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560
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ugcnetdec2014iii
neuralnetwork
perceptron
+3
votes
3
answers
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UGCNETJune2015III72
Suppose the function y and a fuzzy integer number around  4 for x are given as $y=(x3)^2 + 2$. Around  4 ={(2, 0.3), (3, 0.6), (4, 1), (5, 0.6), (6, 0.3)} respectively. Then f(Around4) is given by {(2, 0.6), (3, 0.3), (6, 1), (11, 0.3)} {(2, 0.6), (3, 1), (6, 1), (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)}
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Aug 2, 2016
in
Others
by
jothee
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96.1k
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1.9k
views
ugcnetjune2015iii
fuzzysystems
neuralnetwork
+4
votes
1
answer
8
UGCNETJune2015III71
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 $\mu_{A+B^{(Z)}} = \underset{x+y=z}{\oplus} (\mu_A (x) \otimes \mu_B(y))$ $f(A+B)$ is _____ . [Note: ... ), (16, 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)}
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Aug 2, 2016
in
Others
by
jothee
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96.1k
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1.9k
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ugcnetjune2015iii
fuzzysystems
neuralnetwork
+3
votes
1
answer
9
UGCNETJune2015III70
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: $x_1+x_2+1.5=0$ $x_1+x_21.5=0$ $x_1+1.5=0$ $x_11.5=0$
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Aug 2, 2016
in
Others
by
jothee
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96.1k
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1.5k
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ugcnetjune2015iii
fuzzysets
neuralnetwork
0
votes
1
answer
10
UGCNETSep2013III28
In a single perceptron, the updation rule of weight vector is given by $w(n+1) = w(n) + \eta [d(n)y(n)]$ $w(n+1) = w(n)  \eta [d(n)y(n)]$ $w(n+1) = w(n) + \eta [d(n)y(n)]*x(n)$ $w(n+1) = w(n)  \eta [d(n)y(n)]*x(n)$
asked
Jul 24, 2016
in
Machine Learning
by
jothee
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96.1k
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777
views
ugcnetsep2013iii
neuralnetwork
machinelearning
+1
vote
1
answer
11
UGCNETSep2013III27
Support of a fuzzy set $A= \big\{ \frac{x_1}{0.2}, \frac{x_2}{0.15}, \frac{x_3}{0.9}, \frac{x_4}{0.95}, \frac{x_5}{0.15} \big \}$ ... $\{x_3, x_4 \}$ $\{x_1, x_2, x_3, x_4, x_5\}$
asked
Jul 24, 2016
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Others
by
jothee
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96.1k
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708
views
ugcnetsep2013iii
neuralnetwork
fuzzysets
0
votes
1
answer
12
UGCNETSep2013III26
Let A be a set of comfortable houses given as $A = \big\{ \frac{x_1}{0.8}, \frac{x_2}{0.9}, \frac{x_3}{0.1}, \frac{x_4}{0.7} \big \}$ and be the set of affordable houses $B = \big\{ \frac{x_1}{0.9}, \frac{x_2}{0.8}, \frac{x_3}{0.6}, \frac{x_4}{0.2} \big \}$ Then ... $\big\{ \frac{x_1}{0.7}, \frac{x_2}{0.7}, \frac{x_3}{0.7}, \frac{x_4}{0.9} \big \}$
asked
Jul 24, 2016
in
Others
by
jothee
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96.1k
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657
views
ugcnetsep2013iii
neuralnetwork
fuzzylogic
+1
vote
1
answer
13
UGCNETJune2013III75
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
asked
Jul 19, 2016
in
Others
by
jothee
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96.1k
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1.3k
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ugcnetjune2013iii
neuralnetwork
singlelayerperceptron
+1
vote
1
answer
14
UGCNETJune2013III74
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 $\{0.9, 0.5, 0.6, 0.8, 0.8\}$ $\{0.6, 0.2, 0.1, 0.7, 0.5 \}$ $\{0.1, 0.5, 0.4, 0.2, 0.2\}$ $\{0.1, 0.5, 0.4, 0.2, 0.3 \}$
asked
Jul 19, 2016
in
Others
by
jothee
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96.1k
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1.4k
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ugcnetjune2013iii
neuralnetwork
fuzzysets
+2
votes
1
answer
15
UGCNETJune2013III73
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
asked
Jul 19, 2016
in
Others
by
jothee
Veteran
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96.1k
points)

659
views
ugcnetjune2013iii
neuralnetwork
fuzzysets
0
votes
1
answer
16
UGCNETDec2012III9 Neural Networks
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 perception and ... single layer perception OR can be solved using single layer perception and XOR problem can be solved using radial basis function
asked
Jul 12, 2016
in
Others
by
jothee
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96.1k
points)

1.1k
views
ugcnetdec2012iii
artificialintelligence
neuralnetwork
+2
votes
3
answers
17
ISRO20112
Which of the following is an unsupervised neural network? RBS Hopfield Back propagation Kohonen
asked
Jun 15, 2016
in
Machine Language
by
Anuanu
(
159
points)

2.5k
views
isro2011
neuralnetwork
nongate
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