Proceedings of the third international conference on Genetic algorithms
A Bayesian method for constructing Bayesian belief networks from databases
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
C4.5: programs for machine learning
C4.5: programs for machine learning
Applications of machine learning and rule induction
Communications of the ACM
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
A statistical perspective on knowledge discovery in databases
Advances in knowledge discovery and data mining
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning Control Strategies for Chemical Processes: A Distributed Approach
IEEE Expert: Intelligent Systems and Their Applications
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 3rd International Conference on Genetic Algorithms
Predictive models for the breeder genetic algorithm i. continuous parameter optimization
Evolutionary Computation
A constraint-based genetic algorithm approach for mining classification rules
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A genetic algorithm-based approach to flexible flow-line scheduling with variable lot sizes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An incremental genetic algorithm for classification and sensitivity analysis of its parameters
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Research on CBR system based on data mining
Applied Soft Computing
Using the Taguchi method for effective market segmentation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A CBR system for injection mould design based on ontology: A case study
Computer-Aided Design
D-FNN based soft-sensor modeling and migration reconfiguration of polymerizing process
Applied Soft Computing
Research on an active knowledge push service based on collaborative intent capture
Journal of Network and Computer Applications
| Hi-index | 12.06 |
In the semiconductor manufacturing industry, fluid dispensing is a very common process used for die-bonding and microchip encapsulation in electronics packaging. Understanding the process behaviour is important as it aids in determining appropriate settings of the process parameters for a high-yield, low cost and robust operation. In this paper, a genetic algorithm (GA) based knowledge discovery system is proposed to discover knowledge about the fluid dispensing process. This knowledge is expressed in the form of rules derived from experimental data sets. As a result, appropriate parameters can be set which will be more effective with respect to the required quality of encapsulation. Rules generated by the GA based knowledge discovery system have been validated using a computational system for process optimization of fluid dispensing. The results indicate that the rules generated are useful and promising in aiding optimization of the fluid dispensing process in terms of better optimization results and shorter computational time.