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Kohonen T. — Self-organizing maps
Kohonen T. — Self-organizing maps

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Название: Self-organizing maps

Автор: Kohonen T.

Аннотация:

The Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in the unsupervised learning category. Many fields of science have adopted the SOM as a standard analytical tool: in statistics,signal processing, control theory, financial analyses, experimental physics, chemistry and medicine. A new area is organization of very large document collections. The SOM is also one of the most realistic models of the biological brain functions.This new edition includes a survey of over 2000 contemporary studies to cover the newest results; the case examples were provided with detailed formulae, illustrations and tables; a new chapter on software tools for SOM was written, other chapters were extended or reorganized.


Язык: en

Рубрика: Физика/Нелинейная динамика, Хаос/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Издание: third edition

Год издания: 2001

Количество страниц: 501

Добавлена в каталог: 15.09.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
2-D color sensor      360
A priori knowledge      40
a priori probability      40
Absolute correction rule      56
Absorbing state      129 354
Abstract feature      99 177
Abstract feature map      177 188
Abstraction      82 86 96 100 106
Accelerated searching      191
Accent classification      361
Acoustic label      277
Acoustic preprocessing      268
Acoustic-feature dynamics      361
Acoustic-noise pollution      361
Active forgetting      92
Active learning      92
Active media      371
Active transmission line      87
Active transmission medium      76
Activity-control kernel      179
ADALINE      43 73
Adaptation      82
Adaptive detector      304
Adaptive linear element      43
Adaptive model      89
Adaptive neighborhood function      200
Adaptive signal-transfer network      85
Adaptive structure of SOM      199
Adaptive-subspace SOM      216—236
Adaptive-subspace theorem      51
Address decoder      84
Address pointer      25 199 288
Addressing old winners      170
Alphabet      281
Anaesthesia system      273 363
Analog classifier      329
Analog computer      331
Analog representation      80
Analog SOM      371
Analog-digital SOM      371
analog-to-digital conversion      268
Anatomical map      177
Anatomical projection      99
Angle, generalized      4 18 39
Animation of physiological SOM      186—187
ANN design by SOM      368
Anomalies in images      359
Aplysia      92
Approximation of functions      368
Arc-cutting algorithm      46
Arrays of numbers      8
artificial intelligence      75
Artificial neural network      71
Associative area      99
Associative mapping      308
Associative memory      91
Associative net      74
Associativity      3
ASSOM      216—236 267
Astrophysical source classification      362
Asynchronism      80
Asynchronous computation      80 82
Attentive vision      359
Attractor      84 85
Attribute      161
Attribute map      161 165
Auction method      27
Auditory brainstem response      366
Auditory evoke potential      366
Auditory sensation      366
Augmented-output SOM      351
Autoassociative encoding      308
Autoassociative mapping      308
Automatic labeling      295
Automatic reset      183
Automaton      79
Autonomous robot      81 364
Autonomous system      194
Autoregressive process      208 209
Average conditional loss      41
Average expected distortion measure      146
Average expected error      73 354
Averaged trajectory      93 131
Axon      73 76 100
Background      359
Bandwidth compression      362
Base form      297
Basilar membrane      100
Basis function      85 266
Basis vector      5 34 218 221
Batch map      205 212 251 312
Batch map for strings      206
Batch process      108
Batch training      352
Batch-LVQ1      251
Batch-LVQ1 for symbol strings      252
Bayes classifier      357
Bayes decision border      246 247
Bayes probability      41 245
Beer-quality grading      363
Behavioral model      81
Benchmarking      279 336 357 368
best match      18 110 191
Bigram feature      26
Binary attribute      162
Binary code      21
Binary data matrix      162
Binary pattern      21
Binary tree      45
Binary vector      4
Biological nervous system      76
Blast furnace operation      363
Blood pressure time series      365
Blurring      265 290
Body-posture identification      359
Boltzmann machine      86
Bootstrap learning      160
Border effect      140
Boundary effect      132
Brain area      99
Brain code      79
Brain function      77 81
Brain function model      366
Brain map      99 366
Brain tumor classification      360
Braitenberg vehicles      366
Broad phonetic class      127
Browsing interface      292
Bubble      184
Bucket      24
Buried-object location      363
Calculus of variations      64
Calibration      114 281 284
Cancer treatment      365
Car-body steel identification      363
Cardio-angiographic sequence coding      360
CARELIA simulator      370
Categories of ANNs      85—90
Category      283 367
Category histogram      289
Category map      104
Cell membrane      76 87
Centralized control      81
Centrifugal control      242
Cepstral coefficient      257 260 269
Cepstrum      257 269 275
Cerebral cortex      99
Cerebrum      101
Chain code      268
Channel      96
Channel equalization      305
Chaos      368
Chaotic system      368
Characteristic equation      11
Characterization of paper      359
Chemical control      71 77 90 103
Chemical labeling      103
Chemical marker      100
Chemical process      363
Chemical transmitter      71 73 184
Chemoterapeutic agent      365
Chest-radiograph classification      369
Chinese text reader      360
Chips for SOM      342—344 371
Chromosome-feature extraction      360 365
City-block distance      18 147 338 342 345
Class border      39 86
Class distribution      246
Class mean      42 45
Clause generation and analysis      283
Clone detection software      362
Cloud classification      280 359 360
Cluster landscape      166
Clustering      34 44 165 167 202 270 357 359 368
Clustering, hierarchical      45
Clustering, simple      45
Clutter classification      362
CNAPS computer      371
Co-occurrence matrix      280
Co-processor      336
Coarticulation effect      278
Cochlear implant      361
Codebook      59 75 307
Codebook vector      59 86 246
Cognitive function      81
Cognitive map      364
COKOS chip      342
Collateral reading      24 44
Collective effect      82
Collision      24
Collision-free navigation      364
Color classification      359
Color image quantization      369
Color quantization      359
column      8
Column vector      9
Communality      34
Communication      367
Commutativity      3
Comparison method      39
Compartmentalization      77
Compatibility condition      169
Competing maps      351
Competitive learning      53 85 86 225 348
Complex cell      242
Component placement      364
Component plane      271 325
Compression      358
Computer-performance tuning      366
Concatenation      204 216
Concept      367
Conceptual space      101
Configuration vector      299 303
Conflict      24 65 66
Conflict bit      67
Confusion matrix      22
Connected-word recognition      361
Connection Machine      371
Consciousness      98
Consistent norm      15
Constructive proof of ordering      132 354 355
Consumption alarm      363
Content-addressable memory      74 291
Content-addressable search      296
context      64 65 256 257 278
Context pattern      281 284
Context-dependent mapping      65
Context-dependent production      68
Context-independent production      66
Context-sensitive production      65
Contextual feature      10—11
Contextual level      66
Contextual map      281—286
Contingence table      368
Continuous speech      274
Continuous-speech recognition      361 369
Continuous-valued logic      20
Contour detection      359
Contractive mapping      155
Contribution of a variable      169
Control structures      194
Convergence limit of SOM      138
Convergence proofs      357
Convolution      265
Coronary-artery disease detection      360
Correlation      17 31
Correlation coefficient      18
Correlation matrix      31 266
Correlation matrix memory      91
Correlation, unnormalized      17
Cortex      366
Cortical structure      366
Cost function      41
Counter field      27
Counterpropagation      369
Counterpropagation network      351
Covariance matrix      19 31 42 54
Crossbar      329
Curve detection      359
Curvilinear component analysis      38
Customer profiling      366
Cyclic operation      183
Damage assessment      363
Data analysis      161 264 314 366
Data compression      366
data file      319
Data matrix      161
Data normalization      366
Decision making      40
Decision surface      54
Decision-controlled ASSOM      242—243
Decision-controlled choice      54
Decision-feedback equalizer      305
Decoder      82 84 105 110 178
Decoding of quasiphoneme strings      277
Decomposition      6
Decomposition theorem      8
Defective-cell elimination      364
Delta modulation      362
Demonstrations of SOM      116—165
Dependence of samples      357
Derivative of matrix      16
Descriptor      19
Detector      82 105
Determinant      14
Determining variable      32
Diagnonis system      365
Diagnosis of speech      274
DICTIONARY      26
Differentiation of integration limits      148—149
Diffuse chemical control      92 184
Diffusion      186
Digit recognition      369
Digital coding      364
Digital Fourier transform      268
Digital SOM      371
Digital-signal-processor architecture      371
Digital-system synthesis      364
DIMENSION      2
Dimension reduction      360
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