Download presentation
Presentation is loading. Please wait.
Published byEleanore Francis Modified over 9 years ago
2
Introduction Lecture 1
3
Intro to ALS These lecture notes accompany the book on ALS They can be used with the book and the software for courses on ALS and related subjects of: Machine learning (ML); System engineering (specifically, system identification), SI; Data mining, DM; Statistical Analysis, SA; Pattern Recognition including clustering, classification, PR; Fuzzy logic and fuzzy systems, including neuro- fuzzy systems, FL; ALS by P Angelov (c) 2013 Wiley LN1 Intro2
4
Outline of the ALS course 20-30h lectures 20 h practical session using the EST software Lectures cover: Introduction to ALS (1h) Probability theory-basics (2h) Machine Learning & Pattern recognition (2h) Fuzzy Systems Theory – basics (2h) Evolving System Structure (2h) Parameters Learning (1h) Autonomous Predictors/Estimators/Filters/ Inferential Sensors (1h)… ALS by P Angelov (c) 2013 Wiley LN1 Intro3
5
Outline of the ALS course … …… AL Classifiers (1h) AL Controllers (1h) Collaborative ALS (1h) AL Sensors in (Petro-) Chemical industry (1h) ALS in Mobile Robotics (1h) Autonomous Novelty Detection (1h) Modelling Evolving user behaviour with ALS (1h) Review (1h) Tutorial (1h) ALS by P Angelov (c) 2013 Wiley LN1 Intro4
6
Outline of Lecture1 Introduction to ALS Autonomous Systems (AS) The role of Machine Learning (ML) in AS System Identification – A World Model System structure identification Parameter identification Novelty detection, outliers, structure identification Online vs Offline Adaptive and Evolving Evolving vs Evolutionary Supervised vs unsupervised learning ALS by P Angelov (c) 2013 Wiley LN1 Intro5
7
Introduction to ALS ALS interacts with a number of well established areas of research ( a non exhaustive list is shown below): ML SI DM SA PR FL ALS ALS by P Angelov (c) 2013 Wiley LN1 Intro6
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.