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Jang J.-S.R., Sun Ch.-T., Muzutani E. — Neuro-Fuzzy and Soft Computing
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Название: Neuro-Fuzzy and Soft ComputingАвторы: Jang J.-S.R., Sun Ch.-T., Muzutani E.Аннотация: Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc.
Язык: Рубрика: Computer science /AI, knowledge /Статус предметного указателя: Готов указатель с номерами страниц ed2k: ed2k stats Год издания: 1997Количество страниц: 614Добавлена в каталог: 18.11.2005Операции: Положить на полку |
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Предметный указатель
Inverse learning 460 Involution 35 Jacobian 100 see Jacobian matrix 100 161 467 K-means clustering 424 Karhunen — Loeve transformation 312 Knapsack problem 329 Knowledge acquisition 5 434 459 Kohonen feature maps, neighborhood function 306 Leaky learning 304 Learning rate rescaling 238 Learning Vector Quantization 308 Least mean square learning 232 see Least-squares estimator 106 Least-squares estimator, normal equation 106 Least-squares estimator, orthogonal operator 112 Least-squares estimator, principle of orthogonality 111 Least-squares estimator, projection operator 112 Least-squares polynomial 108 Levenberg — Marquardt method 129 137 163 223 Likelihood function 120 Line minimization 130 see Line search 141 Line search, bracketing 141 Linear classifier 203 Linear regression 104 Linear transversal equalizer 517 Linearization method 161 see Linearly separable 229 Linguistic information 459 Linguistic term 54 Linguistic value 54 Linguistic variable 54 Linguistic variable, orthogonal 58 Linguistic variable, primary terms 55 LMS learning 223 232 328 LMS learning, reverse LMS 316 LSE 106 see Machine intelligence 5 MADALINE 232 Mamdani fuzzy inference system 74 MANFIS 370 509 Manufacturing intelligence 579 Mason's gain formula 217 Matrix inversion formula 103 Max-min product 52 Maximum likelihood estimator 120 Membership function 14 372 Membership function, 44 Membership function, bell 26 Membership function, Cauchy 27 Membership function, extended S 418 Membership function, Gaussian 26 Membership function, generalized bell 26 374 Membership function, L-R 29 Membership function, left-right 29 Membership function, S 43 Membership function, sigmoidal 28 Membership function, trapezoidal 25 Membership function, triangular 25 374 Membership function, two-sided 44 Membership function, two-sided Gaussian 44 376 388 Membership function, Z 44 Membership function,Modified bell 376 575 Membership matrix 424 Mf 14 see Minimal disturbance principle 359 Minimum cost-complexity 414 Minimum phase 518 MLE 120 see MLP 233 370 569 see Model reference adaptive control 467 Model-based learning 288 Model-free learning 288 Modified Hebbian learning rule 316 Modified Newton's method 136 Modified sigmoidal function 380 390 571 Modular networks 246 290 372 378 574 Modular networks, expert networks 246 Modular networks, gating network 246 Modular networks, integrating unit 246 Modular networks, local experts 246 574 Momentum 158 236 Mountain clustering method 427 Mountain function 427 MRAC 467 see Multilayer perceptron 233 244 NDEI 356 see Nearest-neighbor classification 503 Negation 55 Net input 234 Network error 462 Neural networks 226 Neuro-fuzzy and soft computing 1 Neuro-fuzzy computing 1 Neuro-fuzzy control 454 458 Neuro-fuzzy spectrum 382 Neuro-fuzzy spectrum, appropriate linguistic meanings, 572 Neuro-fuzzy spectrum, dilemma between interpretability and precision 382 Neuro-fuzzy spectrum, dilemma between precision and interpretability 387 Neuro-fuzzy spectrum, fuzzy partitionings 572 Neuro-fuzzy spectrum, ill-defined rules 573 Neuro-fuzzy spectrum, interpretability spectrum 386 Neuron functions 372 see Newton direction 135 Newton step 135 Newton's method 129 135 142 nn 226 see Non-dimensional error index 356 Nonlinear least-squares 122 129 160 Nonminimum phase 518 NP-complete 184 Numerical data 88 Numerical information 459 Numerical variables 410 Off-line learning 210 236 304 On-line learning 210 236 Ordered derivative 207 Ordered variables 410 Over learning 535 Overfitting 535 Parameter identification 362 403 434 Parameter sharing 201 Parameterized T-norms 40 Pattern-by-pattern learning 210 232 236 395 see Perceptron 204 227 Perceptron, threshold 204 Perceptron, weight 204 Polynomial interpolation 244 Population-based optimization 175 Positive definite 102 Principal component analysis 312 Principle of incompatibility 54 Principle of orthogonality 314 prototypes 504 Pseudoinverse 220 Q-learning 278 Quadratic form 101 134 148 154 Quadratic interpolation 145 Quasi-Newton methods 139 Quasi-Newton methods, BFGS (or Broyden — Fletcher — Goldfard — Shanno) formula 140 Quasi-Newton methods, DFP (or Davidon — Fletcher — Powell) formula 140 Quasi-Newton methods, hereditary positive definiteness 140 Radial basis function network 238 241 370 372 Radial basis function network, approximation RBFN 243 Radial basis function network, interpolation RBFN 242 Random search 186 RBFN 238 see Real-time recurrent learning 213 470 Receptive field unit 372 Recording learning 301 Recurrent backpropagation, continuous operation 212 Recurrent backpropagation, synchronous operation 212 Recurrent error-propagation network, 217 Recurrent networks 210 290 Recursive least-squares estimator 114 Recursive least-squares identification, 113 Recursive partitioning 406 Regression coefficients 104 Regression function 104 Regression trees 404 Regulator problem 455 Reinforcement comparison 263 Reinforcement learning 258 480 Reinforcement learning, agent 258 Reinforcement learning, delayed reinforcement 262 Reinforcement learning, immediate reinforcement 262 Reinforcement learning, immediate reward/penalty 279 Reinforcement learning, MENACE 261 Reinforcement learning, policy 259 Residual 412 Reverse step 187 Reversi 558 Reward-penalty scheme 259 RMSE 346 see Root-mean-squared error 346 RTRL 213 see Rulebase compression 446 S-norm 38 see SA (see simulated annealing) 181 Saddle point 133 137 237 sc 1 see Scale invariant 136 Scaling 136 165 Scatter partition 87 374 Secant method 143 Self-organizing networks 305 Semantic rule 54 Semi-local activation (hidden) unit 374 Sensitivity model 210 Signum function 517 Similarity measure 304 504 Simulated annealing 181 326 Simulated annealing, annealing schedule 181 Simulated annealing, cooling schedule 181 Simulated annealing, move set 183 Sine function 335 Sliding mode control 495 Soft computing 1 7 568 Softmax activation function 248 380 Specialized learning 465 Squashing function 204 see Stability-Plasticity dilemma 305 Stage adaptive network 471 Standard fuzzy operators 24 State equations 454 Stationary point 133 Steepest descent method 129 133 Steepest descent method, hemstitching 156 Step size 130 Step-halving 137 Stone-Weierstrass theorem 342 Structure identification 403 434 Subtractive clustering 431 Sugeno fuzzy model 81 Sugeno fuzzy model, first-order 82 Sugeno fuzzy model, zero-order 82 Sum of squared error 105 Sum-product composition 80 Supervised learning 226 259 301 Syntactic rule 54 System error 462 System identification 95 System identification, target system 95 t-conorm 38 T-conorm, algebraic sum 39 T-conorm, bounded sum 39 T-conorm, drastic sum 39 T-conorm, maximum 39 T-norm 37 T-norm, algebraic product 37 T-norm, bounded product 37 T-norm, drastic product 37 T-norm, minimum 37 Task decomposition 247 291 378 Taylor series expansion 103 131 135 161 TD 264 see Temporal difference 264 Temporal difference, 265 Temporal difference, TD(0) 265 Temporal difference, TD(1) 265 Term set 54 Test data set 97 108 Topology-preserving maps 305 Tracking 212 Tracking problem 455 Training data set 104 202 Trajectory adaptive network 469 Trajectory following 212 Transfer function 233 see Traveling salesperson problem 183 324 Tree partition 87 Triangular norm 36 see Truncation filter function 380 390 571 Trust-region method 138 TSK fuzzy model 81 see TSP 183 see Tsukamoto fuzzy models 84 Twoing rule 411 Unbiased estimator 118 Unfolding of time 212 469 Unreachable workspace 508 Unsupervised learning 301 Validating data set 97 108 Variable metric methods 139 see Vector quantization 305 Very fast simulated reannealing 184 Very fast simulated reannealing, reannealing 186 Very fast simulated reannealing, temperature rescaling 186 VFSR 184 see Weakest-subtree shrinking 414 Weight of importance 435 Weighted average 82 239 Weighted least-squares estimator 107 Weighted norm 374 Weighted sum 82 239 Widrow — Hoff learning 232 266 see Winner-take-all learning rule 303 Wolfe test 147
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