Neural and massively parallel computers: the 6. generation
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York u.a.
Wiley
1988
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIX, 460 S. Ill. |
| ISBN: | 0471635332 |
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Datensatz im Suchindex
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| adam_text | Neural and Massively
Parallel Computers
The Sixth Generation
BRANKO SOUCEK
Department of Mathematics
University of Zagreb
and
MARINA SOUCEK
National and University Library, Zagreb
WILEY
A Wiley-lnterscience Publication
JOHN WILEY amp; SONS
New York • Chichester • Brisbane • Toronto • Singapore
CONTENTS
PARTI SIXTH-GENERATION COMPUTERS 1
1 Knowledge Engineering and Automatic Programming 3
Introduction and Survey, 3
1 1 The Sixth-Generation Project, 4
1 2 Artificial Intelligence and Expert Systems, 8
1 3 Emerging Expert Systems, 12
1 4 Intelligent Buses, 14
1 5 Will Neural Computers Replace Expert Systems?, 17
1 6 Automatic Programming, 18
References, 20
2 Systems Emulating Human Behavior 23
Introduction and Survey, 23
2 1 Perception, 24
2 2 Human-Computer Interfaces, 25
2 3 Capacity of Human Perception, 27
2 4 Capacity of Short-Term Memory, 28
2 5 Computer versus Human, 30
-26 Evoked Responses, 32
2 7 The Dialogue, 35
References, 37
xi
X/i CONTENTS
3 Systems Emulating Brain-Behavior Functions 39
Introduction and Survey, 39
3 1 Genetic Code, 40
3 2 Microtubule Code, 40
3 3 The Biochip, 44
3 4 Brain Theories and Models, 46
341 The Neuron, 46
342 Networks and Connections, 48
343 Feature Extractors, 50
344 Brain Windows and Language, 51
345 Cooperative Action, 52
3 5 Hierarchical Goal-Directed Behavior, 53
3 6 Architectures Influenced by Brain Models, 56
References, 62
4 Computers in Neurobiology and Behavior 65
Introduction and Survey, 65
4 1 Communication Between and Within Living Organisms, 66
4 2 Neural Point Processes, 68
4 3 Behavioral or Communication Point Processes, 71
4 4 Neural Continuous Processes, 74
4 5 Behavioral or Communication Continuous Processes, 78
References, 81
PART II COMPUTER MODELS OF BRAIN AND BEHAVIOR 87
5 Simulation and Modeling 89
Introduction and Survey, 89
5 1 Deterministic Data Simulation, 90
511 Sine-Wave Generation, 90
512 Computer Simulation of a Harmonic Oscillator, 92
5 2 Random Data and Probability Distributions, 93
5 3 Monte Carlo Techniques, 99
531 Transformation of Random Variables, 100
5 4 Examples of Simulation of Experimental and
Theoretical Data, 102
541 Uniform Distribution, 102
542 Simulation of the Experiment, 102
543 Random Time Intervals, 104
CONTENTS xi u
544 Normal Distribution, 108
References, 109
6 Time Coding in Insects, 111
Introduction and Survey, 111
6 1 Example of Katydid Chirping, 112
611 Basic Definitions, 112
612 Review of Experimental Findings, 113
6 2 Response Function, 116
621 Alternating Chirping, 116
622 Partial Delay, 118
623 Solo Overlap, 118
6 3 Typical Sequence and Noise, 119
6 4 Stable Sequence, Sliding Sequence,
and Transfer Function, 121
6 5 Aggression, 124
6 6 Model Based on Response Function
and Transfer Function, 128
References, 130
7 Frequency Pattern Sequences 131
Introduction and Survey, 131
7 1 Basic Elements or Syllables, 132
711 Example of the Bird Song, 132
712 Analysis of Syllables, 133
7 2 Pairs, 138
7 3 Triplets, 139
7 4 Associative Trees, 143
7 5 The Significance of the Tree Method, 151
751 Female Songs, 151
752 Duet Songs, 152
7 6 Speech Recognition Systems, 154
References, 158
8 Quantized Information Transmission on Neural Terminals 161
Introduction and Survey, 161
8 1 Example of End-Plate Potential, 162
811 Problems, 162
812 Method, 163
8 2 Computer Model, 164
XW CONTENTS
8 3 Fixed and Variable Latency, 172
References, 175
9 Brain-Window Logic 177
Introduction and Survey, 177
9 1 Example of Firefly Communication, 178
9 2 Receiving and Sending Windows, 179
9 3 Primary Oscillator, 181
9 4 The Window Generator, 182
9 5 Answer Oscillator, 184
9 6 Architecture Based on Coupled Nonlinear Oscillators, 186
9 7 Computer Model, 189
971 Primary Oscillator and Memory M(, 190
972 Window Generator and Memory M2, 191
973 Answer Oscillator and Memory M3, 192
974 Vocabulary-Window-Dialect Sets, 195
References, 197
10 Brain-Window Language 199
Introduction and Survey, 199
10 1 Model of the Firefly, 200
10 2 Language, 204 -
10 3 The Message Quantum, 206
10 4 Redundancy, 207
10 5 Distance, 207
10 6 The Use of Context, 208
10 7 The Language of Flexible, Fuzzy, Adjustable Windows, 208
References, 210
PART III NEUROCOMPUTERS AND GENETIC SYSTEMS 211
11 Adaptive Learning Systems 213
Introduction and Survey, 213
11 1 Trainable Pattern Classifiers, 214
11 2 Linear Machine, 215
11 3 A Numerical Example of Training, 217
11 4 The Perceptron, 219
11 5 Hebb sLaw, 221
11 6 Learning Rules, 223
CONTENTS XV
11 7 The Neocognitron, 227
11 8 NETtalk: A Parallel Network that Learns
to Read Aloud, 228
11 9 The Traveling Salesperson, 230
11 10 Bidirectional Associative Memory as a
Pattern Associator, 232
11 11 Kosko Fuzzy Cognitive Maps and Fuzzy Entropy, 237
11 11 1 Adaptive Maps, 237
11 11 2 Fuzzy Entropy, 240
11 12 Storage Capacity of BAM and FCM, 242
References, 242
12 Artificial Neural Systems or Neurocomputers 245
Introduction and Survey, 245
12 1 Terminology, 246
12 1 1 General, 246
12 1 2 Instar, 246
12 1 3 Outstar, 247
12 1 4 Avalanche, 248
12 1 5 Associative Memory, 250
12 2 Virtual Electronic Neurocomputers, 250
12 3 Mark III Neural Network, 253
12 3 1 Mark II, III, and IV, 253
12 3 2 Mark 111-1 Overview, 256
12 3 3 Applications, 260
12 4 The ANZA Neurocomputing Coprocessor, 262
12 5 The ANZA User Interface Subroutine Library, UISL, 266
12 5 1 UISL Data Types, 266
12 5 2 UISL Subroutine Names, 267
12 5 3 UISL Data Files,-268
12 5 4 User Software Components, 269
12 5 5 Using the UISL, 271
12 6 The Delta-Sigma Neurocomputer, 273
12 7 Neural Computers Versus Digital Computers, 274
References, 275
13 Adaptive Rule-Based Expert and Goal-Directed Systems 277
Introduction and Survey, 277
13 1 Rule-Based Representation of Knowledge, 277
13 2 Genetic Algorithms, 279
XV l CONTENTS
13 2 1 AND Algorithm for Independent Rules, 279
13 2 2 Crossover Genetic Algorithm, 280
13 2 3 Scaling Algorithm for Linear Systems, 280
13 2 4 Complement Algorithm for
Symmetrical Rules, 280
13 3 Zeigler Adaptive System, 282
References, 288
14 Event-Train Processing Systems 291
Introduction and Survey, 291
14 1 Event-Train Autocorrelation and Cross-Correlation, 292
14 2 Some Properties of Event-Train Correlation Function, 293
14 3 More than One Event Train, 296
14 4 Examples: Real-Time Systems, Neural Networks,
and Behavioral Systems, 297
14 5 A Small Computer as an On-Line Correlator, 299
14 6 An Event-Train Generator, 300
14 7 Ostojic Coincident Redundant Multiplex, 302
References, 305
PART IV ASSOCIATIVE AND PARALLEL COMPUTERS,
CONCURRENT SYSTEMS 307
15 Tree Structures and Oigitai Transformations 309
Introduction and Survey, 309
15 1 Lists, 309
15 1 1 Definitions, 309
15 1 2 Key, Descriptor and Associated Information, 310
15 1 3 Sequential Method, 311
15 2 A Tree Method, 311
15 21A Multiple-Tree Method, 312
15 2 2 Binary Search for Ordered Lists, 313
15 3 Transformation Methods, 314
15 3 1 Hamming s Codes, 316
15 3 2 Coding Theory in Solving
Addressing Problems, 317
15 4 Pseudorandom Transformation, 319
15 5 Properties of Pseudorandom Transformation
through the Division of Polynomials, 320
CONTENTS XVH
15 6 The Hough Transform in Computer Vision, 326
References, 327
16 Pseudoassociative Memories 329
Introduction and Survey, 329
16 1 Programmed Pseudoassociative Analyzers, 329
16 2 Most-Active Zone Encoder for
Multiparameter Analysis, 330
16 3 Transformation Mode Analyzers, 334
16 4 Self-Adaptable Pseudoassociative Memory, 338
16 5 Window Preselection, 340
16 5 1 Smith Mode, 343
16 5 2 Nodes Mode, 343
References, 343
17 Associative Memories and Processors, 345
Introduction and Survey, 345
17 1 Content-Addressable or Associative Memories, 346
17 2 ASPRO, a High-Speed Associative Processor, 348
17 3 ASPRO Real-Time Expert System, 352
17 4 Relational Data Bases, 354
References, 356
18 Associative Random Access Memory—ARAM, 357
Introduction and Survey, 357
18 1 ARAM Module, 358
18 2 The Associative Memory Array, 358
18 3 The Associative Processor System, 362
18 4 The Instruction Set, 364
References, 367
19 Massively Parallel Computers, 369
Introduction and Survey, 369
19 1 Parallel Processing, 370
19 2 Hypercube Concurrent Computers: iPSC, 372
19 3 Distributed-Array Processor, 376
19 4 The Massively Parallel Processor MPP, 379
19 5 The Connection Machine, 384
19 6 Connection Machine Programming, 387
References, 389
XVffi CONTENTS
20 iPSC Programming Concepts, 391
Introduction and Survey, 391
20 1 Cube Software, 393
20 2 Cube Manager Software, 394
20 3 Programming Approach, 396
20 3 1 Processes, 397
20 3 2 Channels, 399
20 3 3 Deadlock, 399
20 4 Cube Manager and Node System
Interface Libraries, 400
20 4 1 Differences Between the Two Libraries, 402
20 4 2 Difference Between SEND and SENDW;
RECV and RECVW, 402
20 4 3 Using the Message Parameter Type, 403
20 5 Applications Example, 404
21 Transputer Family, 417
Introduction and Survey, 417
21 1 IMS T800 Block Diagram, 418
21 2 Pin Designations for the T800, 419
21 3 Processor, 419
21 3 1 Registers, 419
21 3 2 Instructions, 421
21 3 3 Process and Concurrency, 424
21 3 4 Priority, 426
21 3 5 Communications, 426
21 3 6 Timers, 427
21 3 7 Instruction Set, 427
21 4 Programmable Link Switch, 427
21 4 1 Power, 429
21 4 2 CapPlus, CapMinus, 429
21 4 3 Clockln, 429
21 5 Links, 429
21 6 Switch Implementation, 431
21 6 1 Link Switching, 431
21 6 2 Multiple IMS C004 Control, 433
21 6 3 Bidirectional Exchange, 433
22 Concurrency and OCCAM Programming 437
Introduction and Survey, 437
22 1 Primitive Processes, 438
CONTENTS xiX
22 1 1 Assignment Process, 438
22 1 2 Input Process, 439
22 1 3 Output Process, 439
22 2 Constructions, 439
22 2 1 SEQ Construction, 440
22 2 2 PAR Construction, 440
22 3 Channel Type and Protocol, 441
22 4 Alternative Processes, 441
22 5 Real-Time Programming in OCCAM, 443
22 5 1 Timers, 443
22 5 2 Delays, 444
22 5 3 Priority, 445
22 5 4 Buffering, 447
22 6 Priority and Configuration, 447
Glossary - 449
Author Index 455
Subject Index 458
|
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| oclc_num | 230965619 |
| open_access_boolean | |
| owner | DE-12 DE-91G DE-BY-TUM DE-384 DE-739 DE-355 DE-BY-UBR DE-83 DE-11 DE-188 |
| owner_facet | DE-12 DE-91G DE-BY-TUM DE-384 DE-739 DE-355 DE-BY-UBR DE-83 DE-11 DE-188 |
| physical | XIX, 460 S. Ill. |
| publishDate | 1988 |
| publishDateSearch | 1988 |
| publishDateSort | 1988 |
| publisher | Wiley |
| record_format | marc |
| spelling | Souček, Branko Verfasser aut Neural and massively parallel computers the 6. generation Branko Souček and Marina Souček New York u.a. Wiley 1988 XIX, 460 S. Ill. txt rdacontent n rdamedia nc rdacarrier Nervennetz (DE-588)4041638-0 gnd rswk-swf Generation 6 (DE-588)4429727-0 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Computer (DE-588)4070083-5 gnd rswk-swf Neurocomputer (DE-588)4200446-9 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Computerarchitektur (DE-588)4048717-9 gnd rswk-swf Parallelverarbeitung (DE-588)4075860-6 s DE-604 Neuronales Netz (DE-588)4226127-2 s Computer (DE-588)4070083-5 s Neurocomputer (DE-588)4200446-9 s Computerarchitektur (DE-588)4048717-9 s Generation 6 (DE-588)4429727-0 s Nervennetz (DE-588)4041638-0 s Souček, Marina Verfasser aut HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=000789850&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Souček, Branko Souček, Marina Neural and massively parallel computers the 6. generation Nervennetz (DE-588)4041638-0 gnd Generation 6 (DE-588)4429727-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Computer (DE-588)4070083-5 gnd Neurocomputer (DE-588)4200446-9 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Computerarchitektur (DE-588)4048717-9 gnd |
| subject_GND | (DE-588)4041638-0 (DE-588)4429727-0 (DE-588)4226127-2 (DE-588)4070083-5 (DE-588)4200446-9 (DE-588)4075860-6 (DE-588)4048717-9 |
| title | Neural and massively parallel computers the 6. generation |
| title_auth | Neural and massively parallel computers the 6. generation |
| title_exact_search | Neural and massively parallel computers the 6. generation |
| title_full | Neural and massively parallel computers the 6. generation Branko Souček and Marina Souček |
| title_fullStr | Neural and massively parallel computers the 6. generation Branko Souček and Marina Souček |
| title_full_unstemmed | Neural and massively parallel computers the 6. generation Branko Souček and Marina Souček |
| title_short | Neural and massively parallel computers |
| title_sort | neural and massively parallel computers the 6 generation |
| title_sub | the 6. generation |
| topic | Nervennetz (DE-588)4041638-0 gnd Generation 6 (DE-588)4429727-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Computer (DE-588)4070083-5 gnd Neurocomputer (DE-588)4200446-9 gnd Parallelverarbeitung (DE-588)4075860-6 gnd Computerarchitektur (DE-588)4048717-9 gnd |
| topic_facet | Nervennetz Generation 6 Neuronales Netz Computer Neurocomputer Parallelverarbeitung Computerarchitektur |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=000789850&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT soucekbranko neuralandmassivelyparallelcomputersthe6generation AT soucekmarina neuralandmassivelyparallelcomputersthe6generation |