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| Авторизация |
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| Ablameyko S., Goras L., Gori M. — Neural networks for instrumentation, measurement and related industrial applications |
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| Предметный указатель |
 -finiteness 84
 laser 221 223 240
Ablameyko, S. 1
Aircraft inspection 207 216
Akaike Information Criteria (AIC) 65
Alippi, C. 219
Analog computer 275
Analog hardware 23
Artificial cochlea 30
Artificial nose 30
Artificial retina 29
Artificial tongue 30
ARX model 91
ARX predictor 95
Asymptotic tracking 104
Asynchronous machines 263
Augmented reality (AR) 273 274
Auto-associative neural networks 280
Autocorrelation function 126
Backpropagation 60 69 85 88 98 100 107 122 140 142 148 151 285 294 297 321
Backpropagation through time (BPTT) 61
Baglio, S. 249
Bayes estimation 47
Bayesian 315
Bearing 167 173
Bellman equation 107 109 111
Bias-variance trade-off 63
Bipolar-junction transistors (BJT) 265
Black-box 45 49 54 57 62 68 76
Blom, A. 219
Breast cancer detection 147 152 160
Calibration 11 14 16 36
Cerebellar model articulation controller (CMAC) 53 60 69
Certainty equivalence 109
Chaotic system 120 124 127 132 139
Classification 189 201 207 210 215
Competitive layer 316 317
Composite system 23 27 228 232 237 240
Computational paradigm partitioning 27
Computational paradigm synthesis 27
Condition monitoring 167 175 185
Confidence interval 12 233 236 242
Configurable digital hardware 24
Configurable software simulator 25
Conformable model 275 284 288
Control 190 196 201 208 213 217
Controllability 96
Correlation dimension 120 125 128 130
Corrosion 194 200 207 209 216
Crack 194 200 207 209 216
Criterion function 47 59 72
Cross-validation 63 67 73 233
Curse of dimensionality 85
Dead-beat controller 100
Decision making instruments 291 294
Decision system 191 193 204 216
Defect 168 175 182 188
Defuzzification 259
design methodology 20 27
Detection 189 197 200 204 207 209 216
Deterministic model 303
Diagnosis 167 175 178 185 187
Digital dedicated hardware 24
Digital electronic sensor design 145 161
Digital imaging systems 145 161
Digital weight 24
Discriminant score 315
Distributed measurement system 35
Disturbances 93
Dual control 108
Dual heuristic programming 114
Dynamic backpropagation 61
Dynamic neural architectures 51 54 77
Dynamical system 120 123 128 132
Electro-cardiogram (ECG) 292 296 299 319
Electromagnetic (EM) 273 282 284
Electronic design automation (EDA) 273 282 289
Elman’s network 122
Embedding delay 129 142
Embedding dimension 121 129 138 142
Embedding parameters 121 128 139 143
Embedding theorem 121 128 129
Energy 168 177 180
Enlarged training set 311 313
Errors in variables (EIV) 72
Exact tracking 105
False nearest neighbors method 131
Feature vector 200 210
Features extraction 231 235
Features selection 235 240
Feed-forward neural network 175 178
Feedback linearizability 97
Ferrari, S. 19
Ferrero, A. 9
Filter 292 319
Finite element method (FEM) 285
Finite impulse response multilayer perceptron (FIR-MLP) 58 61
Flow measurements 268
Flux observer 264
Four-points technique 251
Fourier transform 119 127
Fractal dimension 126 128 130
Functional link network (FLN) 53
Fuzzy logic 189 200 210 212 216 257
Fuzzy-model 262
Gao, R.X. 167
Generalization 62 67 73
Giakos, G.C. 145
Golovko, V. 119
Gradient algebra 85
Gradient forward-propagation 86 89
Grey-box 45
Hammerstein model 56
Hardware neural networks 273 276 280 289
Hardware/software partitioning 28
Health 167 177 179 182 187
Hearing sensor 30
hidden 190 193 197 202 204 211
Holographic memory 191 197
Horvath, G. 43
Hot-wire sensors 268
Human-computer interface (HCI) 273
Hybrid-neural system 75
Image 189 194 198 200 204 208 216
Image compression 153
Image fusion 151 158
Image quality contributors 148 159 161 162
Image sensor 29
Image shape and segmentation 152 154 159
Image system design 147 161
Independent component analysis (ICA) 71 119 121
Internal model control 103
Jordan’s network 122
K nearest neighbour classifier (KNN) 234 242 246
Kalman filter 110
Keyhole 222 225 241
Kolmogorov’s entropy 120 125 133 140
Laser cutting 220 223 236
Laser processing 219 228 243
Laser welding 220 224 240
Least square (LS) estimation 47 59 72
Leave one out 219 223 234 236 239
Levenberg — Marquardt 60
| Linear autoregressive model 122
Lipschitz quotient 66
Lyapunov’s exponents 120 125 128 132 140 142
Lyapunov’s function 97 99
Lyapunov’s spectrum 121 128 132 142
Machine tool 168 186
Maniakov, N. 119
Manufacturing 167 172 186
Marchesi, R. 9
Maximum likelihood (ML) estimation 47 75
Measurement 9 189 190 192 196 199 200 207 213 216 273 275 287
Medical data set 294 298
Medical instruments 291 319
Membership function 257
Military applications 147 156 161
Minimum description length (MDL) 65
Minimum phase system 102
Mixture of experts (MOE) 75
Model order selection 65
Model reference control 102
Model uncertainty 302 304
Model validation 62 76 287
Modeling capability 52 54
Modular neural network 73 198 202 205
Multi-recurrent neural network 122
Multilayer perceptron (MLP) 51 58 60 65 68 120 140 142 145 147 152 160 165 291 293 298 306 311
Multisensor image classification 148 158
NARMAX model 57 64 73
NARX model 57 62 64 66 73 92 103 109
NARX predictor 95
Nataraj, K. 145
Nd:YAG laser 221 224
Network information criterion (NIC) 65
Networked sensing system 35
Neural implementation 23
Neural paradigm 20 23
Neuro-dynamic programming 110
Neuro-fuzzy 260
NFIR model 57 61 64 66
NOE model 57
Nonlinear autoregressive model 122
Nuclear magnetic resonance imaging 147 151 159
Observability 90
Occam’s razor 58
Odor sensor 30
Optimal control 106
Overfitting 298
Pacut, A. 79
Parameter estimation 44 47 58 67
Parvis, M. 291
Patnekar, N. 145
Pattern recognition and classification 149 150 156 161
Penetration depth 222 226 243
Perceptron 50 189 193 196 214
Permeability 249 253
Permittivity 249 251 253
Petriu, E.M. 273
Phase-locked loops 149 161
Physiologically motivated pulse coupled neural network (PCNN) 148 151 158
PID controllers 115
Piuri, V. 1 19
plasma 222 235
Plume 225 227 244
Poincare’s section 126
Pores 225 241
Prediction 120 122 129 135 138 142
Prediction horizon 140
Predictive control 108
Pressure sensor 31
Principal component analysis (PCA) 71 119 121 130
Probabilistic neural network 149
Prognosis 168 171 179 183 187
Programmable digital architectures 25
Proprioceptive 194 200
Raceway 170 177 180 182
Radial basis function (RBF) network 53 60 69 120
Random pulse 276 290
Real World 273 288
Real-time recurrent learning (RTRL) 62
Recurrent neural network 120 122 173 187
Reference model 101
Reference signal 101
Regressor 51 57 63 73
Regularization 59 69
Reinforcement learning 110
Remote sensing 34 147 158
Resistance 250 253 255 257 263 266 269
resistivity 249 255 268
Robot 189 193 199 206 213 216
Savitsky, Y. 119
Sensitivity 297 303 308 310 318
Sensor diagnosis 33
Sensor enhancement 28
Sensor fusion 32 189 192 198 206 212
Sensor linearization 31
Separation 43
severity 175 178 182
Siegel, M. 189
Signal processing 119 143
Soft-sensors 262
Space reconstruction 121 140
Stability 96
Stabilizability 97
Stabilization 96
Statistical learning theory 65
Statistical model 303 305 311 315 318 321
Stereoscopic 200 204 208
Support Vector Machines (SVM) 72
Symbiont 274
Synaptic 275 280
Syntheric aperture radars (SAR) 147 157 164
System specification 27
System validation 233
Tactile sensor 30
Tapped-delay line operator 80
Temporal backpropagation 61
Thermistors 269
Traceability 16
Tracking 101
Training 190 193 197 201 205 211 217 231 235 239 242
Tree-like networks (TLN) 148 156
Uncertainty 12 291 299 301 304 310 312
Uncertainty combination 304 309
Uncertainty propagation 302
Unfolding-in-time 61
Universal approximation 52 68 83
Unmodeled dynamics 94
Vallan, A. 291
Vibration 168 173 176 185
Virtual environment (VE) 273 288
Virtual prototyping environment (VPE) 273 275 282 287 289
Virtual reality (VR) 273 274
Virtual sensor 34
Virtual workbench 275 284
Virtual world 273
Virtualized reality environment (VRE) 273 275 288
Visual sensor 29
Wavelet 200 210
Wheatstone bridge 255
White-box 45
Wiener model 56
Wiener — Hammerstein model 56
Zero dynamics 102
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