適応システム理論 (大学院前期課程)

平成１０年度　　 レポート 課題

平成１１年度　　 宿題(1)-4/22-

平成２０年度　　 ガイダンスPPTファイル

平成１０年度（前期）

ﾚﾎﾟｰﾄ課題

Adaptive System Theory     Subjects of Examination
 

Make a short paper answering the following questions.

1. Select one of the artificial neural networks (ANN) which were studied in this class.

2 Describe the selected ANN, and its feature

3. Demonstrate one application(*) of the selected ANN.
･ Describe about the application, using block diagrams and equations if necessary.
･ Describe why the selected ANN is useful for this application.

4. Make a simulation program, and implement the ANN applied to your application(*).
･ Describe about the model used in the simulation.
･ Illustrate the simulation results.
･ Discuss about the results.
* A small size network is available.

5. Provide comments on ANNs, and my lecture (style and contents).

◇The deadline for submission is 25th Aug. Submission after the deadline is not
  acceptable.

* If you have any question, please feel free to contact with me.

平成１１年度（前期）

(1) Obtain M by using Eqs.(3.6) and (3.27) for the the following examples.

     p=3,  q=2
     a_1=[1  0  1]^T/2^{1/2}    [ ]^T means the transposed vector or matrix.
　　a_2=[1  1  0]^T/2^{1/2}
    b_1=[0  1  1]
    b_2=[0  1  0]

(2) Compare association by both methods. Perfect or imperfect association?

(3) If the association is not perfect, then modify a_1 and a_2 in order to achieve the perfect association.

Note: a_1 and a^{1/2} mean a₁ and a^1/2.