Volume 10, Number 2, 2023
In this Number
(30 papers)
DOI: https://doi.org/10.23939/mmc2023.02.261
pp. 261–271
DOI: https://doi.org/10.23939/mmc2023.02.272
pp. 272–287
DOI: https://doi.org/10.23939/mmc2023.02.288
pp. 288–298
DOI: https://doi.org/10.23939/mmc2023.02.299
pp. 299–310
DOI: https://doi.org/10.23939/mmc2023.02.311
pp. 311–325
Performance evaluation of a novel Conjugate Gradient Method for training feed forward neural network
DOI: https://doi.org/10.23939/mmc2023.02.326
pp. 326–337
DOI: https://doi.org/10.23939/mmc2023.02.338
pp. 338–350
DOI: https://doi.org/10.23939/mmc2023.02.351
pp. 351–358
DOI: https://doi.org/10.23939/mmc2023.02.359
pp. 359–378
DOI: https://doi.org/10.23939/mmc2023.02.379
pp. 379–386
DOI: https://doi.org/10.23939/mmc2023.02.387
pp. 387–399
DOI: https://doi.org/10.23939/mmc2023.02.400
pp. 400–409
DOI: https://doi.org/10.23939/mmc2023.02.410
pp. 410–420
DOI: https://doi.org/10.23939/mmc2023.02.421
pp. 421–434
DOI: https://doi.org/10.23939/mmc2023.02.435
pp. 435–444
DOI: https://doi.org/10.23939/mmc2023.02.445
pp. 445–457
DOI: https://doi.org/10.23939/mmc2023.02.458
pp. 458–473
DOI: https://doi.org/10.23939/mmc2023.02.474
pp. 474–486
DOI: https://doi.org/10.23939/mmc2023.02.487
pp. 487–497
DOI: https://doi.org/10.23939/mmc2023.02.498
pp. 498–510
DOI: https://doi.org/10.23939/mmc2023.02.511
pp. 511–517
DOI: https://doi.org/10.23939/mmc2023.02.518
pp. 518–523
DOI: https://doi.org/10.23939/mmc2023.02.524
pp. 524–533
DOI: https://doi.org/10.23939/mmc2023.02.534
pp. 534–546
DOI: https://doi.org/10.23939/mmc2023.02.547
pp. 547–556
DOI: https://doi.org/10.23939/mmc2023.02.557
pp. 557–565
DOI: https://doi.org/10.23939/mmc2023.02.575
pp. 575–582
DOI: https://doi.org/10.23939/mmc2023.02.583
pp. 583–592