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課程簡介 Course Introduction
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開課年度學期 Year / Term
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114 學年度 第 2 學期
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開課班級 Department
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電機工程學系碩士班 電機系碩博班合選
Master Program, Department of Electrical Engineering
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授課方式 Instructional Method
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課堂教學 、 中文
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課程電腦代號 Course Reference Number
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182012
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課程名稱(中文) Course Title(Chinese)
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適應性類神經模糊推論系統
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課程名稱(英文) Course Title(English)
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Adaptive Neuro-fuzzy Inference System
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學分數/時數 Credit Hours
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3 /
3
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必(選)修 Required / Elective Course
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選修 Elective
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授課老師 Instructor
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黃崇能
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助教 Teaching Assistant
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上課時間 Meeting Time
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星期二，節次2
Tue, Period 2
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上課教室 Classroom
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ZB209
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Office Hours
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| 獲獎及補助情形 Awards and Grants |
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| 聯合國永續發展目標 (SDGs跨域類別) Sustainable Development Goals, SDGs |
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SDGs 04.
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優質教育：確保有教無類、公平以及高品質的教育，及提倡終身學習
Quality Education：Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
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SDGs 09.
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工業化、創新及基礎建設：建立具有韌性的基礎建設，促進包容且永續的工業，並加速創新
Industry, Innovation and Infrastructure：Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
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SDGs 12.
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責任消費及生產：促進綠色經濟，確保永續消費及生產模式
Responsible Consumption and Production：Ensure sustainable consumption and production patterns
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課程目標 Learning Objectives
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An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy inference system. Hence, ANFIS is considered to be a universal estimator. Over the last few years, ANFIS has been used in many geotechnical engineering problems. A review of published literature reveals that ANFIS has been used successfully in footing response prediction, modeling of the friction angle of soils, tunnel stability analysis, estimating current-induced scour depth around pile groups, prediction of unconfined compressive strength, swelling potential of soils and permeability estimation. This courses aim at how to apply the ANFIS in a more efficient and optimal way, and let student be able to use the best parameters obtained by the ANFIS algorithm.
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先修 ( 前置 ) 課程 Prerequisite
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Neuro-Network, Fuzzy theory and control, Matlb/Simuink language.
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| 彈性教學規劃 Flexible Teaching/Planning Schedules |
| ＊本課程實施16+2週彈性教學方案，其中第17、18週之彈性規劃如下： |
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線上教學/討論
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自主學習
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課程大綱 Course Syllabus
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| 週次 Week |
課程單元大綱 Unit |
教學方式 Instructional Method/Style/Teaching Style |
參考資料或相關作業 References or Related Materials |
評量方式 Grading |
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1
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Neuro-network principle
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ppt
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2
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Perceptron and back propagation
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ppt
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3
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Hopfield Neural network
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ppt
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4
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Neuro-network applications
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ppt
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5
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Set theory
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ppt
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6
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Fuzzzy logics and inference
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ppt
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7
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Middle tests
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8
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Fuzzy control
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ppt
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9
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Fuzzy control examples
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algorithm practices
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10
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ANFIS
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ppt
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11
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Self-organizing feature Map
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ppt
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12
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Radial Basis Function
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ppt
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13
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Genetic Algorithms
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14
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Final reports
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單一課程對應校能力指標程度 The Degree to Which Single Course Corresponds to School Competence
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| 編號 No. |
校核心能力 School Core Competencies |
符合程度 Degree of conformity |
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1
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公民力 (Citizen)
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4
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2
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自學力 (Self-learning)
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5
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3
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資訊力 (Information)
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5
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4
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創造力 (Creativity)
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5
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5
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溝通力 (Communication)
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5
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6
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就業力(Employability)
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5
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單一課程對應系能力指標程度 The Degree to Which Single Course Corresponds to Department Competence
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| 編號 No. |
類別 Category |
系核心能力 Department Core Competencies |
符合程度 Degree of conformity |
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01
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系所
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具備專業知識運作及運用之能力
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5
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02
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系所
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發掘問題、實驗分析及驗證之能力
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5
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03
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系所
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創新思考開發之能力
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5
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04
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系所
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協調合作、領導團隊與管理規劃之能力
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5
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05
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系所
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中英文寫作與簡報之能力
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5
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06
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系所
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強化國際觀與國際交流之能力
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5
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單一課程對應院能力指標程度 The Degree to Which Single Course Corresponds to College Competence
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| 編號 No. |
院核心能力 College Core Competencies |
符合程度 Degree of conformity |
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1
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語文能力
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5
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2
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溝通與合作能力
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5
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3
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創新與實踐能力
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5
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4
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專業知能
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5
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教科書或參考用書 Textbooks or Reference Books
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館藏書名 Library Books
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備註 Remarks
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Modeling of Tropospheric Delays Using ANFIS - SpringerLink ISBN: 978-3-319-28437-8
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※請尊重智慧財產權，不得非法影印教科書※
※ Please respect intellectual property rights and do not illegally photocopy textbooks. ※
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教學方法 Teaching Method
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教學方法 Teaching Method
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百分比 Percentage
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講述
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60 %
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專題實作
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30 %
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個案研討
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10 %
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| 總和 Total |
100 % |
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成績評量方式 Grading
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| 評量方式 Grading |
百分比 Percentage |
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個人書面報告
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30 %
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作業撰寫
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30 %
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小組口頭報告
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30 %
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出席狀況
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10 %
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| 總和 Total |
100 % |
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課程大綱補充資料 Supplementary Material of Course Syllabus
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