Dasar Sistem Cerdas (B)
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Week 1 Introduction to Intelligent System
Dasar Sistem Cerdas (B)
Section 2
Section 3
Perceptron
Neuron Logic Functions
Artificial Neuron
Architecture, weight and threshold
Section 4
Multi layer Feed Forward
Gradient Descent Example
Assignment Week #4 (Program)
Section 5
Recurrent Network and Training
Lecture Note 3-6
Section 6
Feature Extraction and Supervised Learning
Section 7
Backpropagation Algorithm
Tugas Week 4
FInal Project
Section 8
Evaluasi Tengah Semester (ETS)
Week #9: Standard & Accelerated Error Back Propagation Algorithm (EBPA)
Standard & Accelerated Error Back Propagation Algorithm (EBPA)
Week #10: Adaptive Learning Rate, Threshold and Asymptote Adaptation during learning
Self Organizing Networks
Threshold and Asymptote Adaptation during learning
ANN as a Predictor
Week #11: Introduction to Fuzzy Logic
Introduction to Fuzzy Logic
Fuzzy Set Operation
Incremental and batch learning
Unsupervised Learning
Week #12: Fuzzy Membership Functions & Fuzzy Conversions
Fuzzy Membership Functions & Fuzzy Conversions
Fuzzy Membership Functions & Fuzzy Conversions
Week #13: Fuzzy Rule-Based System
Fuzzy Rule-Based System
Guest Lecture Session with Physitrack
Week #14: Fuzzy Clustering
Fuzzy Clustering
Hybrid Neuro-Fuzzy System
Kohonen Planar Mapping
Kohonen Visual Mapping
Week #16: Final Exam
Final Exam
Week #17: Demo
Demo Program
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Panduan Dosen
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[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
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Dasar Sistem Cerdas (B)
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Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Teknologi Elektro dan Informatika Cerdas
S-1 TEKNIK BIOMEDIK
Semester Genap 2021/2022
Dasar Sistem Cerdas (B)
Summary
Dasar Sistem Cerdas (B)
Teacher:
Achmad Arifin
Teacher:
Mohammad Nuh
Teacher:
Norma Hermawan