Adaptive Resonance Theory Microchips
Autor Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G Andreouen Limba Engleză Hardback – 31 aug 1998
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Specificații
ISBN-13: 9780792382317
ISBN-10: 0792382315
Pagini: 234
Ilustrații: XXIII, 234 p.
Dimensiuni: 160 x 241 x 19 mm
Greutate: 0.56 kg
Ediția:1998 edition
Editura: Springer Us
Locul publicării:New York, NY, United States
ISBN-10: 0792382315
Pagini: 234
Ilustrații: XXIII, 234 p.
Dimensiuni: 160 x 241 x 19 mm
Greutate: 0.56 kg
Ediția:1998 edition
Editura: Springer Us
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1. Adaptive Resonance Theory Algorithms.- 1.1 Introduction.- 1.2 ART1.- 1.3 ARTMAP.- 1.4 Fuzzy-ART.- 1.5 Fuzzy-ARTMAP.- 2. A Vlsi-Friendly ART1 Algorithm.- 2.1 The Modified ART1 Algorithm.- 2.2 Functional Differences between Original and Modified Model.- 3. ART1 And ARTMAP Vlsi Circuit Implementation.- 3.1 Introduction.- 3.2 Hardware-Oriented Attractive Properties of the ART1 Algorithm.- 3.3 Circuit Description.- 3.4 Modular System Expansivity.- 3.5 Implementation of Synaptic Current Sources.- 3.6 Experimental Results of First Prototype.- 3.7 Experimental Results of Second Prototype.- 4. A Current-Mode Multi-Chip WTA-MAX Circuit.- 4.1 Introduction.- 4.2 Operation Principle.- 4.3 Circuit Implementation.- 4.4 System Stability Coarse Analysis.- 4.5 System Stability Fine Analysis.- 4.6 Experimental Results.- 5. An ART1/ARTMAP/Fuzzy-ART/Fuzzy-ARTMAP Chip.- 5.1 The Synaptic Cell.- 5.2 Peripheral Cells.- 5.3 Concluding Remarks.- 6. Analog Learning Fuzzy Art Chips.- 6.1 Introduction.- 6.2 Summary of the Fuzzy-ART Algorithm.- 6.3 Current-Mode Fuzzy-ART Chip.- 6.4 Fuzzy-ART/VQ Chip.- 6.5 Conclusions.- 7. Some Potential Applications For Art Microchips.- 7.1 Portable Non-invasive Device for Determination of Concentrations of Biological Substances.- 7.2 Cardiac Arrhythmia Classifier for Implantable Pacemaker.- 7.3 Vehicle Interior Monitoring Device for Auto Alarm.- 7.4 Concluding Remarks.- Appendices.- A- MATLAB Codes for Adaptive Resonance Theory Algorithms.- A.1 MATLAB Code Example for ART1.- A.2 MATLAB Code Example for ARTMAP.- A.3 MATLAB Code Example for Fuzzy-ART.- A.4 MATLAB Code Example for Fuzzy-ARTMAP.- A. 5 Auxiliary Functions.- B- Computational Equivalence of the Original ART1 and the Modified ART1m Models.- B. l Direct Access to Subset and Superset Patterns.- B. 2 DirectAccess by Perfectly Learned Patterns (Theorem 1 of original ART1).- B. 3 Stable Choices in STM (Theorem 2 of original ART1).- B. 4 Initial Filter Values determine Search Order (Theorem 3 of original ART1).- B. 5 Learning on a Single Trial (Theorem 4 of original ART1.- B. 6 Stable Category Learning (Theorem 5 of original ART1.- B. 7 Direct Access after Learning Self-Stabilizes (Theorem 6 of original ART1).- B.8 Search Order(Theorem 7 of original ART1).- B.9 Biasing the Network towards Uncommitted Nodes.- B.10 Expanding Proofs to Fuzzy-ART.- B. 11 Remarks.- C- Systematic Width-and-Length Dependent CMOS Transistor Mismatch Characterization.- C.1 Mismatch Characterization Chip.- C.2 Mismatch Parameter Extraction and Statistical Characterization.- C.3 Characterization Results.- References.