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Detail
JurnalIEEE Transactions on Neural Networks vol. 11 no. 1 (2000)
Bibliografi
Topik: TECHNOLOGY
Bahasa: (EN )    ISSN: 1045-9227    Year:: 2000    
Penerbit: IEEE Computational Intelligence Society
Jenis: Journal - ilmiah internasional
[Lihat daftar eksemplar jurnal IEEE Transactions on Neural Networks]
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: II36
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Artikel dalam koleksi ini
  1. A Neural Network Model for Monotone Linear Asymmetric Variation Alinequalities, halaman 3-16
  2. Statistical Active Learning in Multilayer Perceptrons, halaman 17-26
  3. Bayesian Wavelet Networks for Nonparametric Regression, halaman 27-35
  4. A New Supervised Learning Algorithm for Multilayered and Interconnected Neural Networks, halaman 36-46
  5. LMS Learning Algorithms : Misconceptions and New Results on Converence, halaman 47-56
  6. Design and Analysis of A Nonequilibrium Cross-Coupled Network With A Detectable Similarity Measure, halaman 57-68
  7. Output Feedback Control of Nonlinear Systems Using RBF Neural Networks, halaman 69-79
  8. Nonlinear Internal Model Control Using Neural Networks : Application to Processes With Delay and Design Issues, halaman 80-90
  9. Automated Fault Diagnosis is Nonlinear Multivariable, halaman 91-101
  10. A New Method for The Control of Discrete Nonlinear , halaman 102-112
  11. Design of Neural Networks for Fast Convergence and Accuracy : Dynamics and Control, halaman 113-123
  12. A Fast Iterative Nearest Point Algorithm for Support Vector Machine Classifier Design , halaman 124-136
  13. On-Line Retrainable Neural Networks : Improving The Performance Of Neural Networks in Image Analysis Problems, halaman 137-155
  14. Weight Assignment for Adaptive Image Restoration By Neural Networks, halaman 156-170
  15. Model-Based Synthesis of Plucked String Instruments By Using A Class of Scattering Recurrent Networks, halaman 171-185
  16. Automatic Target Detection Using Entropy Optimized Shared-Weight Neural Networks, halaman 186-193
  17. Winner-Take-All Neural Networks Using The Highest Threshold, halaman 194-199
  18. A Class of Learning Algorithms for Principal Component Analysis and Minor Component Analysis, halaman 200-204
  19. Existence and Learning of Oscillations in Recurrent Neural Networks, halaman 205-214
  20. Robust Recursive Least Squares Learning Algorithm for Principal Component Analysis, halaman 215-221

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