Soft Computing Assignment Of 7th Semester

Government Engineering College Patan

Computer Department

B.E. SEM VII (Computer Science & Engineering)

Subject: Soft Computing                                                        Subject code: 173101

Assignment

1.     Give the differences between Supervised Learning and    Unsupervised learning.

2.  List feature of fuzzy NN. Justify the use of fuzzy logic in soft computing.

      3.  Compare Single Layer Vs. Multilayer Perceptron.

4.  Describe Mamdani FIS with its advantages. Differentiate between           

      Mamdani FIS and Sugeno FIS.                                                                               

      5.  Discuss various operations of fuzzy sets with example.

6.  Explain the various learning steps of back propagation network.

7.  Describe learning vector quantization with suitable example.

      8. What are limitations of single layer perception model? How it can be    

           Overcome.

      9.  Discuss the following terms:

               -Perceptron

               - Membership Function

    10.  Discuss the following terms of fuzzy set theory in brief with example:

                - Fuzzy Relation

             - Linguistic Variable

    11.  Describ e the different activation functions in neural network.

    12. What do you mean by activation function, bias, and delta rule?