Recent questions tagged neural-network

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1

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

asked Mar 2, 2018 in Others by gatecse Boss (16k points) | 49 views

+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 (17 points) | 316 views

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1 answer

3

UGCNET-dec2008-ii-49
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 Loyal (6.9k points) | 171 views

+1 vote

1 answer

4

UGCNET-AUG2016-III-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

asked Oct 4, 2016 in Others by makhdoom ghaya Boss (29.3k points) | 503 views

+2 votes

1 answer

5

UGCNET-AUG2016-III-64
What are the following sequence of steps taken in designing a fuzzy logic machine ? Fuzzification $\rightarrow$ Rule evaluation $\rightarrow$ Defuzzification Fuzzification $\rightarrow$ Defuzzification $\rightarrow$ Rule evaluation Rule evaluation $\rightarrow$ Fuzzification $\rightarrow$ Defuzzification Rule evaluation $\rightarrow$ Defuzzification $\rightarrow$ Fuzzification

asked Oct 4, 2016 in Others by makhdoom ghaya Boss (29.3k points) | 521 views

+3 votes

1 answer

6

UGCNET-Dec2014-III-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 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 Boss (29.3k points) | 560 views

+3 votes

3 answers

7

UGCNET-June2015-III-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, 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)}

asked Aug 2, 2016 in Others by jothee Veteran (96.1k points) | 1.9k views

+4 votes

1 answer

8

UGCNET-June2015-III-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 $\mu_{A+B^{(Z)}} = \underset{x+y=z}{\oplus} (\mu_A (x) \otimes \mu_B(y))$ $f(A+B)$ 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)}

asked Aug 2, 2016 in Others by jothee Veteran (96.1k points) | 1.9k views

+3 votes

1 answer

9

UGCNET-June2015-III-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: $x_1+x_2+1.5=0$ $x_1+x_2-1.5=0$ $x_1+1.5=0$ $x_1-1.5=0$

asked Aug 2, 2016 in Others by jothee Veteran (96.1k points) | 1.5k views

0 votes

1 answer

10

UGCNET-Sep2013-III-28
In a single perceptron, the updation rule of weight vector is given by $w(n+1) = w(n) + \eta [d(n)-y(n)]$ $w(n+1) = w(n) - \eta [d(n)-y(n)]$ $w(n+1) = w(n) + \eta [d(n)-y(n)]*x(n)$ $w(n+1) = w(n) - \eta [d(n)-y(n)]*x(n)$

asked Jul 24, 2016 in Machine Learning by jothee Veteran (96.1k points) | 777 views

+1 vote

1 answer

11

UGCNET-Sep2013-III-27
Support of a fuzzy set $A= \big\{ \frac{x_1}{0.2}, \frac{x_2}{0.15}, \frac{x_3}{0.9}, \frac{x_4}{0.95}, \frac{x_5}{0.15} \big \}$ ... $\{x_3, x_4 \}$ $\{x_1, x_2, x_3, x_4, x_5\}$

asked Jul 24, 2016 in Others by jothee Veteran (96.1k points) | 708 views

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1 answer

12

UGCNET-Sep2013-III-26
Let A be a set of comfortable houses given as $A = \big\{ \frac{x_1}{0.8}, \frac{x_2}{0.9}, \frac{x_3}{0.1}, \frac{x_4}{0.7} \big \}$ 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 Veteran (96.1k points) | 657 views

+1 vote

1 answer

13

UGCNET-June2013-III-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

asked Jul 19, 2016 in Others by jothee Veteran (96.1k points) | 1.3k views

+1 vote

1 answer

14

UGCNET-June2013-III-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 $\{0.9, 0.5, 0.6, 0.8, 0.8\}$ $\{0.6, 0.2, 0.1, 0.7, 0.5 \}$ $\{0.1, 0.5, 0.4, 0.2, 0.2\}$ $\{0.1, 0.5, 0.4, 0.2, 0.3 \}$

asked Jul 19, 2016 in Others by jothee Veteran (96.1k points) | 1.4k views

+2 votes

1 answer

15

UGCNET-June2013-III-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

asked Jul 19, 2016 in Others by jothee Veteran (96.1k points) | 659 views

0 votes

1 answer

16

UGCNET-Dec2012-III-9 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 Veteran (96.1k points) | 1.1k views

+2 votes

3 answers

17

ISRO2011-2
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

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