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Explain Learning Vector Quantization Algorithm?
soft computing updated 4.2 years ago by krithikkm200 • 10
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1
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3.1k
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1
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Newton Method .
soft computing updated 4.2 years ago by krithikkm200 • 10
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1
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3.4k
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1
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what is learning in neural network ?
soft computing updated 4.2 years ago by krithikkm200 • 10
3
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1
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6.6k
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1
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Explain the perceptron learning with example.
soft computing updated 4.2 years ago by krithikkm200 • 10
1
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1
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12k
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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 4.2 years ago by krithikkm200 • 10
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7.2k
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1
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write the short note on : character recognition using neural network.
soft computing updated 4.2 years ago by krithikkm200 • 10
0
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1
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15k
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Explain any four defuzzification with suitable example
soft computing updated 4.2 years ago by krithikkm200 • 10
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1
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5.9k
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1
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Fuzzy inference system.
soft computing updated 4.2 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 4.2 years ago by krithikkm200 • 10
1
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1
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8.1k
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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 4.2 years ago by krithikkm200 • 10
0
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1
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5.5k
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1
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Explain mamdani type of fuzzy inference systems in details
soft computing updated 4.2 years ago by krithikkm200 • 10
0
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1
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8.8k
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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 4.2 years ago by krithikkm200 • 10
6
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1
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45k
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1
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Explain ANFIS architecture with neat diagram.
soft computing updated 4.2 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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Prove that the first order derivative of a unipolar continuous activation function f' (net) = 0 (1-0)
soft computing updated 4.2 years ago by krithikkm200 • 10
0
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1
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8.2k
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1
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Steepest Descent algorithm.
soft computing updated 4.2 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 4.2 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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For bipolar continuous activation function f1 (net) = 0 (1-0 riseto 2)/2;
soft computing updated 4.2 years ago by krithikkm200 • 10
0
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1
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7.7k
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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 4.2 years ago by krithikkm200 • 10
10
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1
answer
165k
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1
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What is communication? Explain the process of communication with it's diagram.
communication skills updated 4.2 years ago by krithikkm200 • 10
7
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2
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20k
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2
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Explain error back proportional algorithm with help of flowchart.
soft computing updated 4.2 years ago by krithikkm200 • 10
2
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1
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8.8k
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1
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State any five DFT properties.
digital signal processing updated 4.2 years ago by krithikkm200 • 10
0
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1
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6.4k
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Determine whether or not the following signals are periodic. If periodic specify its fundamental period.
digital signal processing updated 4.2 years ago by krithikkm200 • 10
1
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1
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7.1k
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1
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What are various ways for memory and address protection
cryptography and system security updated 4.2 years ago by krithikkm200 • 10
0
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1
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11k
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1
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what do you mean by SDLC? Describe the different phases of SDLC?
software engineering updated 4.2 years ago by krithikkm200 • 10
0
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1
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5.5k
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1
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Explain Zachman's framework
software engineering updated 4.2 years ago by krithikkm200 • 10
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