Adaptive Resonance Theory Microchips

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Adaptive Resonance Theory Microchips

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Adaptive Resonance Theory Microchips

  • 品牌: Unbranded

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描述

Adaptive Resonance Theory Microchips

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. Language: English
  • 品牌: Unbranded
  • 类别: 教育
  • 语言: English
  • 出版日期: 2012/09/05
  • 艺术家: Teresa Serrano-Gotarredona
  • 页数: 234
  • 出版社/标签: Springer
  • 格式: Paperback
  • Fruugo ID: 339603768-744955643
  • ISBN: 9781461346722

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