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Neural Networks, Volume 16
Volume 16, Number 1, January 2003
- Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
Celebrating the Year with a Special Issue for IJCNN'03. 1 - Nicolas Schweighofer, Kenji Doya:
Meta-learning in Reinforcement Learning. 5-9 - Jun Tani:
Learning to generate articulated behavior through the bottom-up and the top-down interaction processes. 11-23 - Osamu Watanabe, Masanori Idesawa:
Computational model for neural representation of multiple disparities. 25-37 - Kazushi Ikeda:
A synfire chain in layered coincidence detectors with random synaptic delays. 39-46 - Tadashi Yamazaki:
Mathematical analysis of a correlation-based model for orientation map formation. 47-54 - Hiroshi Tsukimoto, Hisaaki Hatano:
The functional localization of neural networks using genetic algorithms. 55-67 - Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón:
A new EM-based training algorithm for RBF networks. 69-77 - Martin Burger, Andreas Neubauer:
Analysis of Tikhonov regularization for function approximation by neural networks. 79-90 - Geoffrey G. Lockwood, Igor Alexander:
Predicting the behaviour of G-RAM networks. 91-100 - Ivan Gabrijel, Andrej Dobnikar:
On-line identification and reconstruction of finite automata with generalized recurrent neural networks. 101-120 - San-Kan Lee, Pau-Choo Chung, Chein-I Chang, Chien-Shun Lo, Tain Lee, Giu-Cheng Hsu, Chin-Wen Yang:
Classification of clustered microcalcifications using a Shape Cognitron neural network. 121-132 - Khaled Ahmed Nagaty:
On learning to estimate the block directional image of a fingerprint using a hierarchical neural network. 133-144
Volume 16, Number 2, March 2003
- Andrew I. Hanna, Danilo P. Mandic:
A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. 155-159 - Simon M. Stringer, Edmund T. Rolls, Thomas Trappenberg, Ivan E. Tavares de Araújo:
Self-organizing continuous attractor networks and motor function. 161-182 - Hrushikesh Narhar Mhaskar, Francis J. Narcowich, Joseph D. Ward:
Zonal function network frames on the sphere. 183-203 - Antonio Fernández-Caballero, José Mira, Miguel Angel Fernández, Ana E. Delgado García:
On motion detection through a multi-layer neural network architecture. 205-222 - Chi-Sing Leung, Lai-Wan Chan:
Dual extended Kalman filtering in recurrent neural networks. 223-239 - Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. 241-250 - Yasar Becerikli, Ahmet Ferit Konar, Tariq Samad:
Intelligent optimal control with dynamic neural networks. 251-259 - Bart Bakker, Tom Heskes:
Clustering ensembles of neural network models. 261-269 - X. P. Cheng, Rajni V. Patel:
Neural network based tracking control of a flexible macro-micro manipulator system. 271-286
Volume 16, Numbers 3-4, April-May 2003
- Roberto Tagliaferri, Giuseppe Longo, Bruno D'Argenio, Alberto Incoronato:
Introduction: Neural networks for analysis of complex scientific data: astronomy and geosciences. 295 - Roberto Tagliaferri, Giuseppe Longo, Leopoldo Milano, Fausto Acernese, Fabrizio Barone, Angelo Ciaramella, Rosario De Rosa, Ciro Donalek, Antonio Eleuteri, Giancarlo Raiconi, Salvatore Sessa, Antonino Staiano, Alfredo Volpicelli:
Neural neZtworks in astronomy. 297-319 - Vladimir M. Krasnopolsky, Helmut Schiller:
Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. 321-334 - Vladimir M. Krasnopolsky, Frédéric Chevallier:
Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. 335-348 - Hugo Hidalgo, Sonia Sosa León, Enrique Gómez-Treviño:
Application of the kernel method to the inverse geosounding problem. 349-353 - D. Mancini, Massimo Brescia, Pietro Schipani:
Ground-based telescope pointing and tracking optimization using a neural controller. 365-374 - Daniela Baratta, Giovambattista Cicioni, Francesco Masulli, Léonard Studer:
Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting. 375-387 - Thomas Villmann, Erzsébet Merényi, Barbara Hammer:
Neural maps in remote sensing image analysis. 389-403 - Enrique García-Berro, Santiago Torres-Alegre, Jordi Isern:
Using self-organizing maps to identify potential halo white dwarfs. 405-410 - Jorge Núñez, Jorge Yacer:
Astronomical image segmentation by self-organizing neural networks and wavelets. 411-417 - Robert J. Bullen, Dan Cornford, Ian T. Nabney:
Outlier detection in scatterometer data: neural network approaches. 419-426 - Giuseppe Acciani, Ernesto Chiarantoni, Girolamo Fornarelli, Silvano Vergura:
A feature extraction unsupervised neural network for an environmental data set. 427-436 - Zhiyong Liu, Kai Chun Chiu, Lei Xu:
Improved system for object detection and star/galaxy classification via local subspace analysis. 437-451 - Simone G. O. Fiori:
Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing. 453-467 - Maria Funaro, Erkki Oja, Harri Valpola:
Independent component analysis for artefact separation in astrophysical images. 469-478 - Ercan E. Kuruoglu, Luigi Bedini, Maria Teresa Paratore, Emanuele Salerno, Anna Tonazzini:
Source separation in astrophysical maps using independent factor analysis. 479-491 - Francesco Carlo Morabito, Mario Versaci:
Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data. 493-506 - Erick Cantú-Paz, Chandrika Kamath:
Evolving neural networks to identify bent-double galaxies in the FIRST survey. 507-517
Volume 16, Numbers 5-6, June-July 2003
- Donald C. Wunsch II, Michael E. Hasselmo, DeLiang L. Wang, Ganesh K. Venayagamoorthy:
Welcome to the special issue: the best of the best. 519 - Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes:
Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum. 521-528 - David P. Casasent, Xue-wen Chen:
Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification. 529-535 - Xiuwen Liu, Anuj Srivastava, DeLiang L. Wang:
Intrinsic generalization analysis of low dimensional representations. 537-545 - Min Han, Lei Cheng, Hua Meng:
Application of four-layer neural network on information extraction. 547-553 - Masakazu Matsugu, Katsuhiko Mori, Yusuke Mitari, Yuji Kaneda:
Subject independent facial expression recognition with robust face detection using a convolutional neural network. 555-559 - Ganesh Arulampalam, Abdesselam Bouzerdoum:
A generalized feedforward neural network architecture for classification and regression. 561-568 - Horatiu Voicu:
Hierarchical cognitive maps. 569-576 - Randal A. Koene, Anatoli Gorchetchnikov, Robert C. Cannon, Michael E. Hasselmo:
Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation. 577-584 - Hassan H. Namarvar, Theodore W. Berger:
An efficient training algorithm for dynamic synapse neural networks using trust region methods. 585-591 - Cengiz Günay, Anthony S. Maida:
Temporal binding as an inducer for connectionist recruitment learning over delayed lines. 593-600 - Roberto A. Santiago, James McNames, Kim Burchiel, George G. Lendaris:
Developments in understanding neuronal spike trains and functional specializations in brain regions. 601-607 - Liming Zhang, Jianfeng Mei:
Shaping up simple cell's receptive field of animal vision by ICA and its application in navigation system. 609-615 - Thomas P. Caudell, Yunhai Xiao, Michael J. Healy:
eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures. 617-624 - Peter Sussner:
Associative morphological memories based on variations of the kernel and dual kernel methods. 625-632 - Habtom W. Ressom, Dali Wang, Padma Natarajan:
Adaptive double self-organizing maps for clustering gene expression profiles. 633-640 - Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman:
An accelerated procedure for recursive feature ranking on microarray data. 641-648 - Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna:
Pattern completion through phase coding in population neurodynamics. 649-656 - Giorgio A. Ascoli:
Passive dendritic integration heavily affects spiking dynamics of recurrent networks. 657-663 - Ashraf M. Abdelbar, Emad A. M. Andrews, Donald C. Wunsch II:
Abductive reasoning with recurrent neural networks. 665-673 - Emílio Del Moral Hernandez:
Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs. 675-682 - Lee A. Feldkamp, Danil V. Prokhorov, Timothy M. Feldkamp:
Simple and conditioned adaptive behavior from Kalman filter trained recurrent networks. 683-689 - Stefan Wermter, Mark Elshaw:
Learning robot actions based on self-organising language memory. 691-699 - Ameet Joshi, Juyang Weng:
Autonomous mental development in high dimensional context and action spaces. 701-710 - Edgar N. Sánchez, Luis J. Ricalde:
Chaos control and synchronization, with input saturation, via recurrent neural networks. 711-717 - Radhakant Padhi, Sivasubramanya Nadar Balakrishnan:
Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programming. 719-728 - Jianyu Li, Siwei Luo, Yingjian Qi, Yaping Huang:
Numerical solution of elliptic partial differential equation using radial basis function neural networks. 729-734 - Bernard Widrow, Max Kamenetsky:
Statistical efficiency of adaptive algorithms. 735-744 - Eiji Mizutani, James Demmel:
On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning. 745-753 - Bart Kosko, Sanya Mitaim:
Stochastic resonance in noisy threshold neurons. 755-761 - Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino:
Quantum optimization for training support vector machines. 763-770 - Louis Massey:
On the quality of ART1 text clustering. 771-778 - Meng-Hui Wang, C. P. Hung:
Extension neural network and its applications. 779-784 - Daisuke Tsujinishi, Shigeo Abe:
Fuzzy least squares support vector machines for multiclass problems. 785-792 - John A. Bullinaria:
Evolving efficient learning algorithms for binary mappings. 793-800 - Ali Pezeshki, Mahmood R. Azimi-Sadjadi, Louis L. Scharf:
A network for recursive extraction of canonical coordinates. 801-808 - Ali Ghodsi, Dale Schuurmans:
Automatic basis selection techniques for RBF networks. 809-816 - Lei Xu:
Data smoothing regularization, multi-sets-learning, and problem solving strategies. 817-825 - Samuel A. Mulder, Donald C. Wunsch II:
Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks. 827-832 - Anthony Zaknich:
A practical sub-space adaptive filter. 833-839 - Adam E. Gaweda, Alfred A. Jacobs, Michael E. Brier, Jacek M. Zurada:
Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study. 841-845 - Ritaban Dutta, K. R. Kashwan, M. Bhuyan, Evor L. Hines, Julian W. Gardner:
Electronic nose based tea quality standardization. 847-853 - Antonio Eleuteri, Roberto Tagliaferri, Leopoldo Milano, Sabino De Placido, Michele De Laurentiis:
A novel neural network-based survival analysis model. 855-864 - Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel A. L. Nicolelis:
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. 865-871 - Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe:
Stochastic error whitening algorithm for linear filter estimation with noisy data. 873-880 - Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy:
New internal optimal neurocontrol for a series FACTS device in a power transmission line. 881-890 - Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch II:
Design of an adaptive neural network based power system stabilizer. 891-898 - Dimitris A. Karras, Vasilios Zorkadis:
On neural network techniques in the secure management of communication systems through improving and quality assessing pseudorandom stream generators. 899-905 - Harold Szu, Steven Noel, Seong-Bin Yim, Jefferson M. Willey, Joe Landa:
Multimedia authenticity protection with ICA watermarking and digital bacteria vaccination. 907-914 - Philip J. Kellman:
Interpolation processes in the visual perception of objects. 915-923 - Stephen Grossberg:
Laminar cortical dynamics of visual form perception. 925-931 - Stuart Anstis:
Moving objects appear to slow down at low contrasts. 933-938 - Ennio Mingolla:
Neural models of motion integration and segmentation. 939-945
Volume 16, Number 7, September 2003
- Masaki Nomura, Toshio Aoyagi, Masato Okada:
Two-level hierarchy with sparsely and temporally coded patterns and its possible functional role in information processing. 947-954 - Stephan K. Chalup, Alan D. Blair:
Incremental training of first order recurrent neural networks to predict a context-sensitive language. 955-972 - F. Gregory Ashby, Michael B. Casale:
A model of dopamine modulated cortical activation. 973-984 - Kazuyuki Samejima, Kenji Doya, Mitsuo Kawato:
Inter-module credit assignment in modular reinforcement learning. 985-994 - Zhaozhi Zhang, Xiaomin Ma, Yixian Yang:
Bounds on the number of hidden neurons in three-layer binary neural networks. 995-1002 - Alex Alexandridis, Haralambos Sarimveis, George V. Bafas:
A new algorithm for online structure and parameter adaptation of RBF networks. 1003-1017 - Yi Liao, Shu-Cherng Fang, Henry L. W. Nuttle:
Relaxed conditions for radial-basis function networks to be universal approximators. 1019-1028 - Keisuke Yamazaki, Sumio Watanabe:
Singularities in mixture models and upper bounds of stochastic complexity. 1029-1038 - Emilio Parrado-Hernández, Eduardo Gómez-Sánchez, Yannis A. Dimitriadis:
Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems. 1039-1057 - Bao-Liang Lu, Koji Ito:
Converting general nonlinear programming problems into separable programming problems with feedforward neural networks. 1059-1074 - Olga Parsons, Gail A. Carpenter:
ARTMAP neural networks for information fusion and data mining: map production and target recognition methodologies. 1075-1089
Volume 16, Number 8, October 2003
- Su Lee Goh, Danilo P. Mandic:
Recurrent neural networks with trainable amplitude of activation functions. 1095-1100 - Tohru Nitta:
Solving the XOR problem and the detection of symmetry using a single complex-valued neuron. 1101-1105 - Stephen Grossberg, Dmitry V. Repin:
A neural model of how the brain represents and compares multi-digit numbers: spatial and categorical processes. 1107-1140 - Antonio Ulloa, Daniel Bullock:
A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands. 1141-1160 - Armen R. Sargsyan, Albert A. Melkonyan, Costas Papatheodoropoulos, Hovhannes H. Mkrtchian, George K. Kostopoulos:
A model synapse that incorporates the properties of short- and long-term synaptic plasticity. 1161-1177 - Isao T. Tokuda, Ryuji Tokunaga, Kazuyuki Aihara:
Back-propagation learning of infinite-dimensional dynamical systems. 1179-1193 - Guoguang He, Zhitong Cao, Ping Zhu, Hisakazu Ogura:
Controlling chaos in a chaotic neural network. 1195-1200 - Simone G. O. Fiori:
Neural independent component analysis by "maximum-mismatch" learning principle. 1201-1221 - Tianguang Chu, Cishen Zhang, Zongda Zhang:
Necessary and sufficient condition for absolute stability of normal neural networks. 1223-1227
Volume 16, Number 9, November 2003
- Shun-ichi Amari, Michael A. Arbib, Rolf Kötter:
Neuroinformatics - Introduction. 1235-1236 - Michael A. Arbib, Mihail Bota:
Language evolution: neural homologies and neuroinformatics. 1237-1260 - Rolf Kötter, Klaas E. Stephan:
Network participation indices: characterizing component roles for information processing in neural networks. 1261-1275 - Amarnath Gupta, Bertram Ludäscher, Jeffrey S. Grethe, Maryann E. Martone:
Towards a formalization of disease-specific ontologies for neuroinformatics. 1277-1292 - Shiro Usui:
Visiome: neuroinformatics research in vision project. 1293-1300 - Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Ryuta Kawashima:
Neuroanatomical database of normal Japanese brains. 1301-1310 - Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex independent component analysis of frequency-domain electroencephalographic data. 1311-1323 - Karl J. Friston:
Learning and inference in the brain. 1325-1352 - Lars Schwabe, Klaus Obermayer:
Modeling the adaptive visual system: a survey of principled approaches. 1353-1371 - Regina Mudra, Rodney J. Douglas:
Self-correction mechanism for path integration in a modular navigation system on the basis of an egocentric spatial map. 1373-1388 - Shinichi Kikuchi, Kenji Fujimoto, Noriyuki Kitagawa, Taro Fuchikawa, Michiko Abe, Kotaro Oka, Kohtaro Takei, Masaru Tomita:
Kinetic simulation of signal transduction system in hippocampal long-term potentiation with dynamic modeling of protein phosphatase 2A. 1389-1398
Volume 16, Number 10, December 2003
- Xiaofeng Liao, Guanrong Chen, Edgar N. Sánchez:
(Corr. to) Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach. 1401-1402 - Wai-Keung Fung, Yun-Hui Liu:
Adaptive categorization of ART networks in robot behavior learning using game-theoretic formulation. 1403-1420 - Pau Bofill, Roger Guimerà, Carme Torras:
Comparison of simulated annealing and mean field annealing as applied to the generation of block designs. 1421-1428 - D. Randall Wilson, Tony R. Martinez:
The general inefficiency of batch training for gradient descent learning. 1429-1451 - Wilson A. Truccolo, Govindan Rangarajan, Yonghong Chen, Mingzhou Ding:
Analyzing stability of equilibrium points in neural networks: a general approach. 1453-1460 - Qingyu Xiong, Kotaro Hirasawa, Jinglu Hu, Junichi Murata:
A functions localized neural network with branch gates. 1461-1481 - Nihat Ay, Thomas Wennekers:
Dynamical properties of strongly interacting Markov chains. 1483-1497 - E. M. Cochrane, John E. Beasley:
The co-adaptive neural network approach to the Euclidean Travelling Salesman Problem. 1499-1525 - Nikolay I. Nikolaev, Hitoshi Iba:
Polynomial harmonic GMDH learning networks for time series modeling. 1527-1540
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