Proceedings, Volumes 1-2IEEE, 1999 - Artificial intelligence |
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Page 467
... means clustering is also carried out as a comparison to the fuzzy c - means technique . The next section describes the clustering algorithms used . 4. CLUSTERING TECHNIQUES : FUZZY C- MEANS , K - MEANS AND CHAINED DISTANCES 4.1 Chained ...
... means clustering is also carried out as a comparison to the fuzzy c - means technique . The next section describes the clustering algorithms used . 4. CLUSTERING TECHNIQUES : FUZZY C- MEANS , K - MEANS AND CHAINED DISTANCES 4.1 Chained ...
Page 468
... means algorithm described was taken from [ 3 ] and [ 5 ] . The algorithm is used in this study to extract characteristic features of images obtained via ultrasonic sensors in order to reconstruct the real image . As a comparison to this ...
... means algorithm described was taken from [ 3 ] and [ 5 ] . The algorithm is used in this study to extract characteristic features of images obtained via ultrasonic sensors in order to reconstruct the real image . As a comparison to this ...
Page 470
... means algorithm requires more than ten iterations . However , this advantage is worthless if no correct solution is reached . The k - means algorithm only manages to group correctly the data in 20 % of the attempts , while fuzzy c ...
... means algorithm requires more than ten iterations . However , this advantage is worthless if no correct solution is reached . The k - means algorithm only manages to group correctly the data in 20 % of the attempts , while fuzzy c ...
Contents
Java RealTime Distributed Processing Over ATM Networks with ChorusOS | 3 |
Optimizing Costs and Processing Times Under Variable External Processing | 4 |
A Petri Net Solution to the Problem of Deadlocks in Systems of Processes With | 8 |
Copyright | |
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action activity actuators adaptive agent algorithm APDU applet application architecture Automation behavior byte camera client components Computer Vision configuration constraints control system CORBA cost defined described detected developed devices distributed dynamic environment error example execution feature Figure filter FPGA function fuzzy Genetic Algorithms graph hardware IEEE implementation industrial initial input integrated interface Java JavaCard laser Lonworks machine manipulator manufacturing system marked graph matrix method mobile robot module monitoring neural network nodes object obstacle obtained OpenCard Framework operations optimal output parameters PC/SC performance Petri net pixel position problem proposed real-time reinforcement learning rules scheduling sensor sequence server signal simulation smart card solution strategy structure Sun Microsystems task techniques terminal application tool trajectory transducers transition ultrasonic variables vector virtual visual VRML workflow