Built-in test for VLSI: pseudorandom techniques
Built-in test for VLSI: pseudorandom techniques
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Neural network learning and expert systems
Neural network learning and expert systems
On the generation of small dictionaries for fault location
ICCAD '92 1992 IEEE/ACM international conference proceedings on Computer-aided design
HOPE: an efficient parallel fault simulator for synchronous sequential circuits
DAC '92 Proceedings of the 29th ACM/IEEE Design Automation Conference
C4.5: programs for machine learning
C4.5: programs for machine learning
Fault dictionary compaction by output sequence removal
ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Fault dictionary compression and equivalence class computation for sequential circuits
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
Data mining: concepts and techniques
Data mining: concepts and techniques
Highly regular, modular, and cascadable design of cellular automata-based pattern classifier
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special issue on system-level interconnect prediction
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Systems for Knowledge Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
SLIQ: A Fast Scalable Classifier for Data Mining
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Evolving Cellular Automata as Pattern Classifier
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Theory and Application of Multiple Attractor Cellular Automata for Fault Diagnosis
ATS '98 Proceedings of the 7th Asian Test Symposium
Design Of Multiple Attractor Gf (2p) Cellular Automata For Diagnosis Of Vlsi Circuits
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
A Pipeline Architecture for Encompression (Encryption + Compression) Technology
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Multiple Attractor Cellular Automata for Hierarchical Diagnosis of VLSI Circuits
ATS '01 Proceedings of the 10th Asian Test Symposium
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Efficient synthesis of OTA network for linear analog functions
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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This paper presents the theory and application of a high speed, low cost pattern classifier. The proposed classifier is built around a special class of sparse network referred to as Cellular Automata (CA). A specific class of CA, termed as Multiple Attractor Cellular Automata (MACA), has been evolved through Genetic Algorithm (GA) formulation to perform the task of pattern classification. The versatility of the classification scheme is illustrated through its application in three diverse fields - data mining, image compression, and fault diagnosis. Extensive experimental results demonstrate better performance of the proposed scheme over popular classification algorithms in respect of memory overhead and retrieval time with comparable classification accuracy. Hardware architecture of the proposed classifier has been also reported.