Computational Intelligence: Principles, Techniques and ApplicationsSpringer Science & Business Media, 2005. gada 30. marts - 708 lappuses The book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary Computing and Belief Networks. The application areas include Fuzzy Databases, Fuzzy Control, Image Understanding, Expert Systems, Object Recognition, Criminal Investigation, Telecommunication Networks and Intelligent Robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own. Emerging areas of Computational Intelligence such as artificial life, particle swarm optimization, artificial immune systems, fuzzy chaos theory, rough sets and granular computing have also been addressed with examples in this book. The book ends with a discussion on a number of open- ended research problems in Computational Intelligence. Graduate students interested to pursue their research in this subject will greatly be benefited with these problems. |
No grāmatas satura
1.–5. rezultāts no 36.
xvi. lappuse
... Hopfield Network 239 9.2.2 9.2.3 9.2.4 Continuous Hopfield Neural Net 241 A Near - Equilibrium Consideration for Classification by Continuous Hopfield Nets 245 Optimization Using Hopfield ( Continuous ) Neural Nets 246 9.2.5 Application of ...
... Hopfield Network 239 9.2.2 9.2.3 9.2.4 Continuous Hopfield Neural Net 241 A Near - Equilibrium Consideration for Classification by Continuous Hopfield Nets 245 Optimization Using Hopfield ( Continuous ) Neural Nets 246 9.2.5 Application of ...
xix. lappuse
... Hopfield Net- A Review 463 16.6.4 Perception - to - Action Transformation 464 16.6.5 Optimization of the Energy Function Using GA 465 16.6.6 Experimental Details 466 16.7 Conclusions and Future Directions 468 Exercise 469 References 475 ...
... Hopfield Net- A Review 463 16.6.4 Perception - to - Action Transformation 464 16.6.5 Optimization of the Energy Function Using GA 465 16.6.6 Experimental Details 466 16.7 Conclusions and Future Directions 468 Exercise 469 References 475 ...
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Saturs
I | 1 |
II | 3 |
III | 4 |
IV | 7 |
V | 8 |
VI | 9 |
VIII | 10 |
IX | 17 |
CXCV | 369 |
CXCVI | 372 |
CXCVII | 377 |
CXCIX | 391 |
CC | 393 |
CCI | 394 |
CCII | 396 |
CCV | 398 |
X | 20 |
XI | 23 |
XII | 25 |
XIII | 26 |
XVII | 27 |
XXI | 29 |
XXII | 37 |
XXIII | 38 |
XXIV | 40 |
XXV | 42 |
XXVI | 43 |
XXVIII | 44 |
XXIX | 45 |
XXX | 46 |
XXXI | 47 |
XXXIII | 48 |
XXXV | 49 |
XXXVI | 50 |
XXXVIII | 52 |
XXXIX | 54 |
XL | 56 |
XLI | 57 |
XLII | 58 |
XLIII | 60 |
XLIV | 63 |
XLVI | 66 |
XLVII | 67 |
XLIX | 69 |
LI | 70 |
LII | 71 |
LIII | 73 |
LV | 74 |
LVI | 75 |
LVII | 76 |
LVIII | 78 |
LIX | 79 |
LX | 80 |
LXI | 83 |
LXII | 86 |
LXIII | 87 |
LXIV | 89 |
LXV | 90 |
LXVI | 93 |
LXVIII | 95 |
LXIX | 97 |
LXX | 99 |
LXXII | 101 |
LXXIV | 106 |
LXXV | 109 |
LXXVI | 110 |
LXXVII | 114 |
LXXVIII | 119 |
LXXIX | 120 |
LXXXI | 122 |
LXXXII | 125 |
LXXXIII | 127 |
LXXXIV | 132 |
LXXXV | 136 |
LXXXVII | 137 |
LXXXVIII | 139 |
XCI | 140 |
XCII | 143 |
XCIV | 144 |
XCV | 146 |
XCVI | 147 |
XCVIII | 149 |
XCIX | 152 |
CI | 153 |
CII | 154 |
CIII | 155 |
CV | 156 |
CVI | 157 |
CVII | 158 |
CX | 160 |
CXI | 161 |
CXII | 162 |
CXIV | 163 |
CXV | 165 |
CXVI | 167 |
CXVII | 169 |
CXVIII | 170 |
CXIX | 179 |
CXX | 180 |
CXXI | 183 |
CXXII | 184 |
CXXIII | 194 |
CXXIV | 197 |
CXXV | 198 |
CXXVI | 201 |
CXXVII | 203 |
CXXVIII | 207 |
CXXIX | 209 |
CXXX | 217 |
CXXXI | 223 |
CXXXII | 225 |
CXXXIII | 230 |
CXXXV | 233 |
CXXXVI | 237 |
CXXXVII | 238 |
CXXXVIII | 239 |
CXXXIX | 241 |
CXL | 245 |
CXLI | 246 |
CXLII | 248 |
CXLIII | 252 |
CXLIV | 253 |
CXLV | 256 |
CXLVI | 260 |
CXLVII | 262 |
CXLVIII | 263 |
CXLIX | 265 |
CL | 267 |
CLI | 270 |
CLII | 272 |
CLIV | 273 |
CLV | 274 |
CLVI | 276 |
CLVII | 279 |
CLVIII | 281 |
CLIX | 282 |
CLX | 284 |
CLXI | 289 |
CLXIII | 292 |
CLXIV | 295 |
CLXV | 298 |
CLXVI | 302 |
CLXVII | 307 |
CLXVIII | 308 |
CLXIX | 310 |
CLXX | 311 |
CLXXI | 315 |
CLXXII | 317 |
CLXXIII | 318 |
CLXXIV | 321 |
CLXXV | 323 |
CLXXVII | 324 |
CLXXVIII | 331 |
CLXXIX | 332 |
CLXXX | 335 |
CLXXXI | 339 |
CLXXXII | 341 |
CLXXXIII | 342 |
CLXXXV | 345 |
CLXXXVII | 346 |
CLXXXVIII | 348 |
CLXXXIX | 349 |
CXC | 350 |
CXCI | 353 |
CXCII | 354 |
CXCIII | 356 |
CXCIV | 361 |
CCVI | 404 |
CCVIII | 405 |
CCIX | 411 |
CCX | 414 |
CCXI | 415 |
CCXII | 419 |
CCXIV | 423 |
CCXV | 425 |
CCXVI | 426 |
CCXVII | 428 |
CCXVIII | 429 |
CCXIX | 431 |
CCXX | 433 |
CCXXII | 434 |
CCXXIII | 435 |
CCXXV | 439 |
CCXXVI | 440 |
CCXXVII | 441 |
CCXXVIII | 442 |
CCXXIX | 446 |
CCXXX | 447 |
CCXXXI | 450 |
CCXXXII | 453 |
CCXXXIII | 455 |
CCXXXV | 456 |
CCXXXVI | 459 |
CCXXXVII | 460 |
CCXXXIX | 461 |
CCXL | 462 |
CCXLII | 463 |
CCXLIV | 464 |
CCXLV | 465 |
CCXLVI | 466 |
CCXLVII | 468 |
CCXLVIII | 469 |
CCXLIX | 475 |
CCL | 477 |
CCLI | 480 |
CCLII | 482 |
CCLIII | 484 |
CCLV | 487 |
CCLVI | 488 |
CCLVII | 490 |
CCLVIII | 491 |
CCLIX | 492 |
CCLX | 493 |
CCLXII | 494 |
CCLXIII | 495 |
CCLXIV | 497 |
CCLXV | 498 |
CCLXVI | 500 |
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CCLXX | 507 |
CCLXXI | 513 |
CCLXXIII | 517 |
CCLXXIV | 521 |
CCLXXV | 523 |
CCLXXVI | 524 |
CCLXXVIII | 526 |
CCLXXIX | 527 |
CCLXXXI | 528 |
CCLXXXIII | 532 |
CCLXXXIV | 535 |
CCLXXXVII | 537 |
CCLXXXIX | 542 |
CCXCI | 544 |
CCXCII | 545 |
CCXCIII | 547 |
CCXCIV | 549 |
CCXCV | 551 |
CCXCVI | 553 |
CCXCVIII | 554 |
CCXCIX | 555 |
CCC | 560 |
CCCI | 561 |
CCCII | 562 |
CCCIII | 565 |
CCCIV | 566 |
CCCV | 567 |
CCCVI | 570 |
CCCVII | 571 |
CCCVIII | 573 |
CCCIX | 574 |
CCCX | 580 |
CCCXI | 582 |
CCCXII | 584 |
CCCXIII | 589 |
CCCXV | 592 |
CCCXVI | 595 |
CCCXVII | 596 |
CCCXVIII | 597 |
CCCXIX | 600 |
CCCXXI | 601 |
CCCXXII | 603 |
CCCXXIII | 605 |
CCCXXIV | 611 |
CCCXXV | 613 |
CCCXXVII | 614 |
CCCXXVIII | 616 |
CCCXXIX | 617 |
CCCXXX | 619 |
CCCXXXII | 620 |
CCCXXXIII | 621 |
CCCXXXIV | 622 |
CCCXXXV | 624 |
CCCXXXVI | 627 |
CCCXXXVII | 629 |
CCCXXXVIII | 630 |
CCCXXXIX | 632 |
CCCXLI | 633 |
CCCXLII | 634 |
CCCXLIII | 635 |
CCCXLIV | 640 |
CCCXLV | 643 |
CCCXLVIII | 644 |
CCCXLIX | 645 |
CCCL | 646 |
CCCLII | 647 |
CCCLIII | 649 |
CCCLIV | 650 |
CCCLV | 651 |
CCCLVI | 652 |
CCCLVIII | 653 |
CCCLIX | 655 |
CCCLXI | 656 |
CCCLXII | 657 |
CCCLXIII | 658 |
CCCLXIV | 659 |
CCCLXV | 660 |
CCCLXVI | 662 |
CCCLXVII | 663 |
CCCLXVIII | 664 |
CCCLXIX | 667 |
CCCLXX | 669 |
CCCLXXI | 674 |
CCCLXXII | 676 |
CCCLXXIII | 677 |
CCCLXXIV | 683 |
CCCLXXV | 684 |
CCCLXXVI | 686 |
CCCLXXVII | 688 |
CCCLXXVIII | 691 |
CCCLXXXI | 693 |
CCCLXXXIII | 695 |
CCCLXXXIV | 696 |
CCCLXXXVI | 698 |
701 | |
CCCLXXXIX | 707 |
Citi izdevumi - Skatīt visu
Computational Intelligence: Principles, Techniques and Applications Amit Konar Ierobežota priekšskatīšana - 2006 |
Bieži izmantoti vārdi un frāzes
A₁ ADALINE adaptation applications argument2 Artificial back-propagation belief propagation call admission control chapter chromosomes cognitive map competitive learning component computational intelligence crossover cycle database defined denotes determine dynamics encoding equation error evaluate example fuzzy beliefs fuzzy logic fuzzy Petri fuzzy relation fuzzy sets Fuzzy Systems Genetic Algorithm given goal granular computing Hebbian learning Hopfield Hopfield net i-th IEEE Trans input pattern input vector Konar learning algorithm m₁ machine learning matching membership distribution membership function membership values mobile robot neural net neural nets Neural Networks neuro-fuzzy neuron node non-linear optimization output layer parameters path pattern recognition perceptron Petri nets pixels position problem production rules Q-learning r₁ relational schema represent respectively scheme selected signal stability supervised learning synergism target template theorem tracker training instances transition updating W₁ weight matrix weight vector X₁
Atsauces uz šo grāmatu
Advances in Computation and Intelligence: Second International Symposium ... Sanyou Zeng Ierobežota priekšskatīšana - 2007 |