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7
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2
answers
21k
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2
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Explain error back proportional algorithm with help of flowchart.
soft computing updated 4.4 years ago by krithikkm200 • 10
3
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1
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6.7k
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1
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Explain the perceptron learning with example.
soft computing updated 4.4 years ago by krithikkm200 • 10
1
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1
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13k
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1
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write the short note on : winner take all learning rule in neural network
soft computing updated 4.4 years ago by krithikkm200 • 10
1
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1
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7.3k
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1
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write the short note on : character recognition using neural network.
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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3.2k
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1
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The formation of algal solutions in surface water is strongly dependent on pH of water, temperature and oxygen content.
soft computing updated 4.4 years ago by krithikkm200 • 10
1
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1
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8.3k
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1
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Design a fuzzy controller for a train with high speed and small distance.
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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6.0k
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1
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Fuzzy inference system.
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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15k
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1
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Explain any four defuzzification with suitable example
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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5.6k
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1
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Explain mamdani type of fuzzy inference systems in details
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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9.0k
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1
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Draw the five layer architecture of ANFIS and explain each layer in brief.
soft computing updated 4.4 years ago by krithikkm200 • 10
6
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1
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46k
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1
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Explain ANFIS architecture with neat diagram.
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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3.3k
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1
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Prove that the first order derivative of a unipolar continuous activation function f' (net) = 0 (1-0)
soft computing updated 4.4 years ago by krithikkm200 • 10
4
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2
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18k
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2
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What are the differences between derivative free and derivative based optimization.
soft computing updated 4.4 years ago by phenjoisilab • 0
0
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1
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8.3k
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1
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Steepest Descent algorithm.
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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4.3k
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1
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For unipolar continuous activation function f1 (net) = 0 (1-0).
soft computing updated 4.4 years ago by krithikkm200 • 10
1
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1
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7.4k
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1
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For bipolar continuous activation function f1 (net) = 0 (1-0 riseto 2)/2;
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
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7.8k
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1
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What are the different types of encoding, selection, crossover, mutations of GA. Explain each type with suitable examples.
soft computing updated 4.4 years ago by krithikkm200 • 10
0
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1
answer
4.1k
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1
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Find the probabilistic inference by enumeration of entries in a full joint distribution table shown in figure 1. (i) No cavity when toothache is there (ii) p(Cavity! toothache or catch)
soft computing updated 6.2 years ago by teamques10 ★ 70k
0
votes
1
answer
4.7k
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1
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Artificial Intelligence : Question Paper May 2016 - Computer Engineering (Semester 7) | Mumbai University (MU)
soft computing updated 9.5 years ago by teamques10 ★ 70k
0
votes
1
answer
2.3k
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1
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Artificial Intelligence : Question Paper May 2016 - Computer Engineering (Semester 7) | Mumbai University (MU)
soft computing updated 9.4 years ago by teamques10 ★ 70k
0
votes
1
answer
3.3k
views
1
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Categoriztion of Intelligent Systems.
soft computing updated 4.0 years ago by phenjoisilab • 0
0
votes
2
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2.7k
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2
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Explain planning as State space search
soft computing updated 6.2 years ago by teamques10 ★ 70k
1
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1
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5.3k
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1
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Non interactive fuzzy sets.
soft computing updated 7.0 years ago by teamques10 ★ 70k
0
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1
answer
39k
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1
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Find the algebraic sum, algebraic product, bounded and bounded difference of the given fuzzy sets.
soft computing updated 7.0 years ago by teamques10 ★ 70k
0
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1
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15k
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1
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Consider the following two fuzzy sets.
soft computing updated 7.0 years ago by teamques10 ★ 70k
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