Developments in Soft Computing
Robert John, Ralph Birkenhead · 2001
From the contents: Theoretical Development: How Intelligent Can a Mobile Robot Be?- Hybrid Heuristics for Optimal Design of Artificial Neural Networks.- Efficient Image Sequence Analysis Using Fuzzy Techniques.- Automatic Generation of Fuzzy Rule-based Models from Data by Genetic Algorithms.- Resemblance Relations and Fuzzy Weak Orderings.- Fuzzy Control System with B-operations.- Roughness Indicator Fuzzy Set.- Dynamic Recognition States for Chaotic Neural Networks.- A Neural Network Phoneme Classification Based on Wavelet Features.- Fuzzy Symptoms and a Decision Support Index for the Early Diagnosis of Confusable Diseases.- Finding Diverse Examples Using Genetic Algorithms.- Evolving User Profiles to Reduce Internet Information Overload.- Learning Fuzzy Classification Rules from Data.- Increasing Diversity in Genetic Algorithms.- Modelling Non-Numeric Linguistic Variables. Application Exemplars: A Preliminary Fuzzy Model to Identify Abnormal Cervical Smears Using Fourier Transform infrared Spectroscopy... The complete table of contents can be found on the Internet: http://www.springer.de