000			01420nam a2200169 4500
008			150525b xxu||||| |||| 00| 0 eng d
020			_a9783540673699
082			_a003.75 _bNEL
100			_aNelles, Oliver
245			_aNonlinear System Indentification: From Classical Approaches to Neural Networks and Fuzzy Models
260			_c2001 _bSpringer-Verlag _aGermany
300			_a785p
365			_b129.95
500			_aIntroduction Part - 1: Optimization Techniques Introduction to Optimization Linear Optimization Nonlinear Local Optimization Nonlinear Global Optimization Unsupervised Learning Techniques Model Complexity Optimization Summary of Part 1 Part - 2: Static Models Introduction to Static Models Linear, Polynomial, and Look-Up Table Models Neural Networks Fuzzy and Neuro Fuzzy Models Local Linear Neuro Fuzzy Models: Fundamentals Local Linear Neuro Fuzzy Models: Advanced Aspects Summary of Part 2 Linear Dynamic System Identification Nonlinear Dynamic System Identification Classical Polynomial Approaches Dynamic Neural and Fuzzy Models Dynamic Local Linear Neuro Fuzzy Models Neural Networks with Internal Dynamics Part - 4: Applications Applications of Static Models Applications of Dynamic Models Applications of Advanced Methods A: Vectors and Matrices B: Statistics References Index
650			_aInstrumentation Engineering
942			_2ddc _cLB
999			_c93458 _d93458