西安电子科技大学：《神经网络与模糊系统 Neural Networks and Fuzzy Systems》课程PPT课件讲稿（2006）Chapter 11 模糊与卡尔曼滤波目标跟踪控制系统的比较 Comparison of Fuzzy and Kalman-Filter Target-Tracking control system
Questions: Why do we select fuzzy controllers in many real-world- systems? How much of the success can be attributed to the use of the mathematical model and conventional control design approach? How much should be attributed to the clever heuristic tuning that the control engineer uses upon implementation?
1 Soft Computing Approach to Pattern Classification and Object Recognition 2 Pattern Classification Based on Conventional Interpretation of MFI 3 Pattern Classification Based on New Interpretation of MFI 4 Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm 5 Neuro-Genetic Approach to Pattern Classification Based on the New Interpretation of MFI 6 Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm 7 Neuro-Fuzzy Approach to Occluded Object Recognition Based on New Interpretation of MFI
