Detail IEEE Transactions on Neural Networks vol. 13 no. 5 (2002) Bibliografi Topik: TECHNOLOGY Bahasa: (EN )    ISSN: 1045-9227    Year:: 2002     Penerbit: IEEE Computational Intelligence Society Jenis: Journal - ilmiah internasional [Lihat daftar eksemplar jurnal IEEE Transactions on Neural Networks] Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.7A Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Artikel dalam koleksi ini Welcome to The IEEE Neural Networks Society, halaman 1033-1034 Generalized Information Potential Criterion for Adaptive System Training, halaman 1035-1044 A Formal Analysis of Stopping Criteria of Decomposition Methods for Support Vector Machines, halaman 1045-1052 A Recurrent Neural Network for Solving Sylvester Equation With Time-Varying Coefficients, halaman 1053-1063 Two Highly Efficient Second-Order Algorithms for Training Feedforward Networks, halaman 1064-1074 GenSoFNN : A Generic Self-Organizing Fuzzy Neural Network, halaman 1075-1086 Bounds of The Incremental Gain for Discrete-Time Recurrent Neural Networks, halaman 1087-1098 Underwater Target Classification in Changing Environments Using An Adaptive Feature Mapping, halaman 1099-1111 Application of Adaptive Constructive Neural Networks to Image Compression, halaman 1112-1126 A Phase-Based Approach to The Estimation of The Optical Flow Field Using Spatial Filtering, halaman 1127-1136 A Class of Physical Modeling Recurrent Networks for Analysis/Synthesis of Plucked String Instruments, halaman 1137-1148 Adaptive Acquistion and Tracking for Deep Space Array Feed Antennas, halaman 1149-1162 Web Mining in Soft Computing Framework : Relevance, State of The Art and Future Directions, halaman 1163-1177 A CMOS Feedforward Neural-Network Chip With On-Chip Parallel Learning for Oscillation Cancellation, halaman 1178-1186 A New K-Groups Neural Network, halaman 1187-1192 Chaotifying Linear Elman Networks, halaman 1193-1199 Neighborhood Based Levenberg-Marquardt Algorithm for Neural Network Training, halaman 1200-1203 Any Reasonable Cost Function Can be Used for a Posteriori Probability Approximation, halaman 1204-1210 RBF Neural Network Center Selection Based on Fisher Ration Class Separability Measure, halaman 1211-1217 Fast Orthogonal Foward Selection Algorithm for Feature Subset Selection, halaman 1218-1224 Efficient Tuning of SVM Hyperparameters Using Radius/Margin Bound and Iterative Algorithms, halaman 1225-1229 Some Extension of A New Method to Analyze Complete Stability of Neural Networks, halaman 1230-1238 An Analysis of Global Asymptotic Stability of Delayed Cellular Neural Networks, halaman 1239-1242 In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the Previous Results Derived in The Literature. , halaman 1245-1244 Nonlinear Model Structure Design and Construction Using Orthogonal Least Squares and D-Optimality Design, halaman 1245-1250  Edit Artikel Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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