Weekly outline

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  • General

  • 1. 20 February - 26 February

    Preliminary
    (課程內容說明、評分項目以及上課期間注意事項)

    • 2. 27 February - 5 March

      Chapter 1 Introduction

      1.1 Soft computing definition

      1.2 Soft computing v.s. hard computing

      1.3 Artificial intelligence (AI) and soft computing 

      1.4 Hybrid soft computing

      • 3. 6 March - 12 March

        Chapter 2 Evolutionary Computation (I)

        2.1 History

        2.2 Genetic algorithms (GAs)

         

        • 4. 13 March - 19 March

          Chapter 2 Evolutionary Computation (II)

          2.3 Simulated annealing (SA)

          • 5. 20 March - 26 March

            Chapter 3 Swarm Intelligence (I)

            3.1 Ant colony optimization (ACO)

            • 6. 27 March - 2 April

              Chapter 3 Swarm Intelligence (II)

              3.2 Bee colony optimization (BCO)

               

              • 7. 3 April - 9 April

                Chapter 3 Swarm Intelligence (III)

                3.3 Particle swam optimization (PSO)

                • 8. 10 April - 16 April

                  Chapter 4 Artificial Neural Networks (I)

                  4.1 Introduction

                  4.2 Type of ANNs

                   

                  • 9. 17 April - 23 April

                    Midterm examination

                    • 10. 24 April - 30 April

                      Chapter 4 Artificial Neural Networks (II)

                      4.3 Training method in ANNs

                      • 11. 1 May - 7 May

                        Chapter 5 Machine Learning (I)

                        5.1 Basic theories and mathematic

                         

                        • 12. 8 May - 14 May

                          Chapter 5 Machine Learning (II)

                          5.2 Supervised machine Learning


                          • 13. 15 May - 21 May

                            Chapter 5 Machine Learning (III)

                            5.3 Unsupervised machine Learning 

                            5.4 Reinforcement machine Learning

                            • 14. 22 May - 28 May

                              Chapter 6 Fuzzy Computing (I)

                              6.1 History

                              6.2 Fuzzy set and operation

                              • 15. 29 May - 4 June

                                Chapter 6 Fuzzy Computing (II)

                                6.3 Fuzzy logic

                                • 16. 5 June - 11 June

                                  Chapter 7 Hybrid Soft Computation

                                  7.1 FL-GA, FL-ANN, GA-ANN, FL-GA-ANN

                                  • 17. 12 June - 18 June

                                    Final report, presentation


                                    因應大四畢業時程，課程調整至6/1日。

                                    • 18. 19 June - 25 June

                                      Final examination


                                      因應大四畢業時程，課程調整至5/24日。