1. An introduction to computational intelligence paradigms -- 1 Computational intelligence - a formal definition -- 2 The logic of fuzzy sets -- 3 Computational models of neural nets -- 4 Genetic algorithms -- 5 Belief networks -- 6 Computational learning theory -- 7 Synergism of the computational intelligence paradigms -- 8 Conclusions and future directions -- References -- 2. Networked virtual park -- 1 Introduction -- 2 The attraction builder -- 3 Networked virtual environment system -- 4 The server -- 5 Conclusion -- Acknowledgements -- References -- 3. Commercial coin recognisers using neural and fuzzy techniques -- 1 Introduction -- 2 Problem analysis and database compilation -- 3 Approach using artificial neural networks models -- 4 Approach using fuzzy logic models -- 5 Conclusions -- References -- 4. Fuzzy techniques in intelligent household appliances -- 1 Introduction -- 2 Fuzzy approaches for intelligent devices -- 3 Introducing fuzziness to kitchen oven -- 4 Refrigerator-freezer control using fuzzy logic -- 5 Model and simulation of refrigerating-freezing appliance using one compressor -- 6 Hardware implementation -- 7 Decrease of energy consumption from national point-of-view -- 8 Conclusion -- References -- 5. Neural prediction in industry: increasing reliability through use of confidence measures and model combination -- 1 Introduction -- 2 Paper curl prediction -- 3 Neural network model development -- 4 Model combination -- 5 Confidence measures -- 6 Results -- 7 Discussion -- Acknowledgments -- References -- 6. Handling the back calculation problem in aerial spray models using a genetic algorithm -- 1 Introduction -- 2 Early spray models -- 3 Genetic algorithms -- 4 Development of Fortran-SAGA -- 5 Development of VB-SAGA 1.0 -- 6 Development of VB-SAGA 2.0 -- 7 Summary and conclusions -- References -- 7. Genetic algorithm optimization of a filament winding process modeled in WITNESS -- 1 Introduction -- 2 Filament winding model -- 3 Genetic algorithm interface -- 4 Results -- 5 Conclusions -- 6 Summary -- Acknowledgments -- References -- 8.Genetic algorithm for optimizing the gust loads for predicting aircraft loads and dynamic response -- 1 Introduction -- 2 Problem statement and related mathematical underpinnings -- 3 An approach using genetic algorithm -- 4 Results of approach on linear aircraft model -- 5 Summary and conclusion -- Acknowledgments -- References -- 9. A stochastic dynamic programming technique for property market timing -- 1 Introduction -- 2 Review of theoretical considerations -- 3 Specification of market timing model -- 4 Stochastic dynamic programming -- 5 Data used in the simulation study -- 6 Performance and evaluation tests -- 7 Conclusions -- References -- 10. A hybrid approach to breast cancer diagnosis -- 1 Introduction -- 2 KBANNs -- 3 Metabolic features of cancerous breast tissues -- 4 Knowledge elicitation and refinement -- 5 31P MRS data -- 6 KBANN topology -- 7 Results -- 8 Conclusions -- Acknowledgements -- References -- 11. Artificial neural networks as a computer aid for lung disease detection and classification in ventilation-perfusion lung scans -- 1 Introduction -- 2 Artificial neural networks -- 3 Materials and methods -- 4 Results -- 5 Discussion -- Acknowledgments -- References -- 12. Neural network for classification of focal liver lesions in ultrasound images -- 1 Introduction -- 2 Texture analysis of focal liver lesions by neural networks -- 3 Experimental results -- 4 Discussion -- 5 Conclusions -- Acknowledgments -- Entropy -- Root mean square (RMS) variation -- First moment of power spectrum -- References.