Soft Computing Applications [Paperback]

The papers collected in this book are concerned with the application of the so-called soft-computing techniques to the aim of defining flexible systems. The topics covered witness the actual research trend towards an integration of distinct formal techniques for defining flexible systems. The contributions in this volume mainly concern the definition of systems in several application fields, such as image processing, control, asset allocation, medicine, time series forecasting, qualitative modeling, support to design, reliability analysis, diagnosis, filtering, data analysis, land mines detection and so forth. The papers presented in this volume are organized into three main thematic sections: Fuzzy Systems, Neural Networks and Genetic and Evolutionary Algorithms, although, as outlined before, some works employ more than one technique from these fields.

Learning Fuzzy Classifiers with Evolutionary Algorithms.- Evidence of Chaotic Attractors in Cortical Fast Oscillations Tested by an Artificial Neural Network.- A Possibilistic Framework for Asset Allocation.- Efficient Low-resolution Character Recognition Using Sub-machine-code Genetic Programming.- Accurate Modeling and NN to Reproduce Human Like Trajectories.- A New ANFIS Synthesis Approach for Time Series Forecasting.- Experiments on a Prey Predators System.- Qualitative Models and Fuzzy Systems: An Integrated Approach to System Identification.- Fuzzy Reliability Analysis of Concrete Structures by Using a Genetically Powered Simulation.- System for Remote Diagnosis Based on Fuzzy Inference.- Image Segmentation Using a Genetic Algorithm.- How Fuzzy Logic Can Help Detecting Buried Land Mines.- Neuro-fuzzy Filtering Techniques for the Analysis of Complex Acoustic Scenarios.- P300 Off-line Detection: A Fuzzy-based Support System.- Evolutionary Approaches for Cluster Analysis.- Neural Networks in Missing Data Analysis, Model Identification and Non Linear Control.- Genetic Optimization of Fuzzy Slidil#,