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Evolving Systems

Published on Oct 05, 20079750 Views

Plamen Angelov

One of the important research challenges today is to develop new theoretical methods, algorithms, and implementations of systems with a higher level of flexibility and autonomy, we can say with higher

Tutorials

Related categories

Time Series AnalysisFuzzy Logic

Chapter list

Evolving Systems from Streaming Data00:01
Lancaster University01:32
InfoLab2102:20
Tutorial Objective03:42
Outline07:32
Methodology09:45
Algorithms13:20
EFS Applications15:31
The Challenge pt 117:11
Streaming Data vs Batch Data22:25
The Challenge pt 226:05
The Challenge pt 327:05
The Challenge pt 429:13
The Challenge pt 537:42
Example 1: Current UAVs38:52
Example 2: Mobile Robots39:20
Example 3: Intruder Detection Data41:05
The Challenge pt 643:38
The Proposed Approach pt 144:35
The Proposed Approach pt 246:23
System Modeling48:56
Fermentation Process51:33
Black-Box Models54:39
Fuzzy Rule-Based Models55:01
Black-Box Models (a)55:10
Fuzzy Rule-Based Models (a)55:19
Black-Box Models (b)56:09
Fuzzy Model Types56:32
TSK Models01:02:14
TSK Fuzzy Model (Concept)01:05:46
TSK in 2D Feature Space01:09:09
Clusters in the Feature Space01:15:27
On-Line Identification01:16:05
TSK in 2D Feature Space (a)01:16:49
Outlier or a New Info Granule (Cluster/Rule)01:17:39
Adaptive vs Evolving01:18:47
Data-Driven Learning01:19:57
Evolving Systems pt 101:20:37
Evolving Systems pt 201:22:15
Evolving Systems pt 301:22:45
Evolving Systems pt 401:23:35
Evolving Fuzzy Systems01:24:28
Evolving Systems01:25:41
Basic Principle01:27:10
Rule-Base Evolution01:29:08
Data Space Partitioning01:31:22
Outlier or a New Info Granule (Cluster/Rule) (a)01:31:59
Data Space Partitioning (a)01:32:53
Equal Partitioning01:33:13
Data Space Partitioning (b)01:34:15