Smart Engineering Systems Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Rough Sets : Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '98), Held November 1-4, 1998, in St. Louis, Missouri, U.S.A.

Some 150 papers focus on building smart components for engineering systems currently available, characterizing such components as physical systems that can interact with their environment and adapt to changes in both space and time by their ability to manipulate that environment through self-awareness and perceived models of the world based on both quantitative and qualitative information. Among the topics are a mutual information-based ensemble method to estimate Bayes error, an algorithm for determining automatically the number of clusters, linear regression analysis with fuzzy numbers, developing a generic hybrid fuzzy controller, the self-organization of a heterogeneous sensor network by genetic algorithms, discovering scalable knowledge in oceanographic data, calibrating range sensors using a neural network, the adaptive control and synchronization of chaotic systems with time varying parameters, identifying reactive signals in the rat frontal cortex based on cellular field models, and.