Communications of the ACM
Building expert systems
Integrating artificial neural networks with rule-based expert systems
Decision Support Systems - Special issue on neural networks for decision support
Using Discriminant Eigenfeatures for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data Mining, Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Data Mining, Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Combining fuzzy, PID and regulation control for an autonomous mini-helicopter
Information Sciences: an International Journal
PI-Fuzzy controllers for integral plants to ensure robust stability
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Introduction to Machine Learning
Introduction to Machine Learning
A model-based approach to robot fault diagnosis
Knowledge-Based Systems
Data Mining with Decision Trees: Theroy and Applications
Data Mining with Decision Trees: Theroy and Applications
Hybrid GA-BF based intelligent PID controller tuning for AVR system
Applied Soft Computing
Hybrid PID-fuzzy control scheme for managing energy resources in buildings
Applied Soft Computing
Advanced Engineering Informatics
An adaptive rule-based approach for managing situation-awareness
Expert Systems with Applications: An International Journal
Ant colony input parameters optimization for multiuser detection in DS/CDMA systems
Expert Systems with Applications: An International Journal
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This study presents a novel bio-inspired knowledge system, based on closed loop tuning, for calculating the Proportional-Integral-Derivative (PID) controller parameters of a real combined cycle plant. The aim is to automatically achieve the best parameters according to the work point and the dynamics of the plant. To this end, several typical expressions and systems were taken into account to build the model for this multidisciplinary study. Each of these expressions is appropriated for a particular system. The novel method is empirically verified under a real case study based on an auxiliary steam system of a combined cycle plant.