Detail IEEE Transactions on Neural Networks vol. 12 no. 2 (2001) Bibliografi Topik: TECHNOLOGY Bahasa: (EN )    ISSN: 1045-9227    Year:: 2001     Penerbit: IEEE Computational Intelligence Society Jenis: Journal - ilmiah internasional [Lihat daftar eksemplar jurnal IEEE Transactions on Neural Networks] Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Artikel dalam koleksi ini An Introduction to Kernel-Based Learning Algorithms, halaman 181-201 Independent Component Analysis Using Potts Models, halaman 202-211 STRIP - A Strip-Based Neural-Network Growth Algorithm for Learning Multiple-Valued Functions, halaman 212-227 Regularization Networks : Fast Weight Calculation Via Kalman Filtering, halaman 228-235 A Net With Complex Weights, halaman 236-249 Divide-and-Conquer Learning and Modular Perceptron Networks, halaman 250-263 On-Line Learning Control By Association and Reinforcement, halaman 264-276 A New Methodology of Extraction, Optimization, and Application of Crisp and Fuzzy Logical Rules, halaman 277-306 Block-Based Neural Networks, halaman 307-317 A Comparison Between HMPLP and HRBF for Attitude Control, halaman 318-328 Design and Analysis of Maximum Hopfield Networks, halaman 329-339 The Convergence Properties of A Clipped Hopfield Network and Its Application in The Design of Keystream Generator, halaman 340-348 Global Exponential Stability of Neural Network With Globally Lipschitz Continuous Activations and Its Application to Linear Variational Inequality Problem, halaman 349-359 Nonlinear Measures : A New Approach to Exponentioal Stability Analysis for Hopfield-Type Neural Networks, halaman 360-370 K-Winner Machines for Pattern Classification, halaman 371-385 Forward-and Backpropagation in A Silicon Dendrite, halaman 386-393 Texture Segmentation Using Gaussian-Markov Random Fields and Neural Oscillator Networks, halaman 394-404 Self-Organizing Mixture Networks For Probability Density Estimation, halaman 405-411 Some New Results on System Identification With Dynamic Neural Networks, halaman 412-417 A Novel Continuous-Time Neural Network for Realizing Associative Memory, halaman 418-423 A Fast Feedforward Training Algorithm Using A Modified Form of The Standard Backpropagation Algorithm, halaman 424-429 Feedforward Networks Training Speed Enhancement By Optimal Initialization of The Synaptic Coefficients, halaman 430-434 Nonlinear Model Structure Detection Using Optimum Experimental Design and Orthogonal Least Squares, halaman 435-438 Improving The Capacity of Complex-Valued Neural Networks With A Modified Gradient Descent Learning Rule, halaman 439-442 Improving The Capacity of Complex-Valued Neural Networks With A Modified Gradient Descent Learning Rule, halaman 439-442 Improving The Capacity of Complex-Valued Neural Networks With A Modified Gradient Descent Learning Rule, halaman 439-442 Improving The Capacity of Complex-Valued Neural Networks With A Modified Gradient Descent Learning Rule, halaman 439-442 Improving The Capacity of Complex-Valued Neural Networks With A Modified Gradient Descent Learning Rule, halaman 439-442 Improving The Capacity of Complex-Valued Neural Networks With A Modified Gradient Descent Learning Rule, halaman 439-442  Edit Artikel Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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