Connectionists: Neurocomputing volume 71 (issues 7-9)

[Tom Heskes]

Neurocomputing volume 71 (issues 7-9)
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SPECIAL PAPERS
(Progress in Modeling, Theory, and Application of Computational 
Intelligence, ESANN 2007)

Progress in modeling, theory, and application of computational 
intelligence (editorial)
Fabrice Rossi, Michael Biehl and Cecilio Angulo Bahón

Temporal coding with synchronization and acceleration as complementary 
mechanisms
Thomas Burwick

Contribution of the GABA shift to the transition from structural 
initialization to working stage in biologically realistic networks
Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas 
Baltz and Thomas Voigt

Delay learning and polychronization for reservoir computing
Hélène Paugam-Moisy, Régis Martinez and Samy Bengio

Improving reservoirs using intrinsic plasticity
Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. 
Steil and Dirk Stroobandt

Syntactic systematicity in sentence processing with a recurrent 
self-organizing network
Igor Farkaš and Matthew W. Crocker

Natural Actor-Critic
Jan Peters and Stefan Schaal

Following non-stationary distributions by controlling the vector 
quantization accuracy of a growing neural gas network
Hervé Frezza-Buet

A multi-objective approach to RBF network learning
Illya Kokshenev and Antonio Padua Braga

Learning dynamics and robustness of vector quantization and neural gas
Aree Witoelar, Michael Biehl, Anarta Ghosh and Barbara Hammer

Support vector machines for interval discriminant analysis
C. Angulo, D. Anguita, L. Gonzalez-Abril and J.A. Ortega

Kernel-based online machine learning and support vector reduction
Sumeet Agarwal, V. Vijaya Saradhi and Harish Karnick

A kernel-based method for pattern extraction in random process signals
Majid M. Beigi and Andreas Zell

Causal reasoning by evaluating the complexity of conditional densities 
with kernel methods
Xiaohai Sun, Dominik Janzing and Bernhard Schölkopf

Batch kernel SOM and related Laplacian methods for social network analysis
Romain Boulet, Bertrand Jouve, Fabrice Rossi and Nathalie Villa

Mixtures of robust probabilistic principal component analyzers
Cédric Archambeau, Nicolas Delannay and Michel Verleysen

Learning topology of a labeled data set with the supervised generative 
Gaussian graph
Pierre Gaillard, Michaël Aupetit and Gérard Govaert

Collaborative filtering with interlaced generalized linear models
Nicolas Delannay and Michel Verleysen

Agglomerative independent variable group analysis
Antti Honkela, Jeremias Seppä and Esa Alhoniemi

Estimating the number of components in a mixture of multilayer perceptrons
M. Olteanu and J. Rynkiewicz

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REGULAR PAPERS

Adaptive compliant force–motion control of coordinated non-holonomic 
mobile manipulators interacting with unknown non-rigid environments
Zhijun Li, Weidong Chen and Jun Luo

A sequential multi-category classifier using radial basis function networks
S. Suresh, N. Sundararajan and P. Saratchandran

An asynchronous recurrent linear threshold network approach to solving 
the traveling salesman problem
E.J. Teoh, K.C. Tan, H.J. Tang, C. Xiang and C.K. Goh

Stability and synchronization of random brain networks with a 
distribution of connection strengths
R.T. Gray and P.A. Robinson

Time series prediction using evolving radial basis function networks 
with new encoding scheme
Haiping Du and Nong Zhang

Evaluation of neural networks-based controllers in batch polymerisation 
of methyl methacrylate
E.E. Ekpo and I.M. Mujtaba

Limited receptive area neural classifier for texture recognition of 
mechanically treated metal surfaces
O. Makeyev, E. Sazonov, T. Baidyk and A. Martín

Bifurcation analysis in a discrete-time single-directional network with 
delays
Shangjiang Guo, Xianhua Tang and Lihong Huang

A multi-swarm optimizer based fuzzy modeling approach for dynamic 
systems processing
Ben Niu, Yunlong Zhu, Xiaoxian He and Hai Shen

Error-driven active learning in growing radial basis function networks 
for early robot learning
Qinggang Meng and Mark Lee

A theoretical framework for multiple neural network systems
Mike W. Shields and Matthew C. Casey

Third-order generalization: A new approach to categorizing higher-order 
generalization
Richard Neville

Blind separation of fetal electrocardiograms by annealed expectation 
maximization
Jiann-Ming Wu

A definition of partial derivative of random functions and its 
application to RBFNN sensitivity analysis
Xi-Zhao Wang, Chun-Guo Li, Daniel So Yeung, ShiJi Song and HuiMin Feng

On the implicit acquisition of a context-free grammar by a simple 
recurrent neural network
Bo Cartling

An algorithm for extracting fetal electrocardiogram
Yunxia Li and Zhang Yi

Global asymptotic stability of delay BAM neural networks with impulses 
via nonsmooth analysis
Zhen Wen and Jitao Sun

Incremental margin algorithm for large margin classifiers
Saul C. Leite and Raul Fonseca Neto

Adaptive control of nonlinear PID-based analog neural networks for a 
nonholonomic mobile robot
Jun Ye

An estimation of the domain of attraction for recurrent neural networks 
with time-varying delays
Jun Xu, Yong-Yan Cao, Daoying Pi and Youxian Sun

Incorporating prior knowledge in support vector machines for 
classification: A review
Fabien Lauer and Gérard Bloch

Global exponential periodicity of three-unit neural networks in a ring 
with time-varying delays
Chuangxia Huang, Yigang He, Lihong Huang and Mingyong Lai

Evolutionary ensemble of diverse artificial neural networks using speciation
Kyung-Joong Kim and Sung-Bae Cho

Mathematical-model-based design of silicon burst neurons
Takashi Kohno and Kazuyuki Aihara

A neural model for the integration of stereopsis and motion parallax in 
structure from motion
Julian Martin Fernandez and Bart Farell

Wavelet packets approach to blind separation of statistically dependent 
sources
Ivica Kopriva and Damir Seršic'

A parameterless feature ranking algorithm based on MI
Jin-Jie Huang, Yun-Ze Cai and Xiao-Ming Xu

Morphologically constrained ICA for extracting weak temporally 
correlated signals
Zhi-Lin Zhang

An error-counting network for pattern classification
Kar-Ann Toh

Spike-timing-dependent plasticity in small-world networks
Karsten Kube, Andreas Herzog, Bernd Michaelis, Ana D. de Lima and Thomas 
Voigt

Delay-dependent stability analysis for impulsive neural networks with 
time varying delays
Shujun Long and Daoyi Xu

Bayesian nonstationary source separation
Qinghua Huang, Jie Yang and Yue Zhou

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BRIEF PAPERS

Facial expression recognition based on two-dimensional discriminant 
locality preserving projections
Ruicong Zhi and Qiuqi Ruan

A new fuzzy approach for handling class labels in canonical correlation 
analysis
Yanyan Liu, Xiuping Liu and Zhixun Su

Neural networks stabilization and disturbance attenuation for nonlinear 
switched impulsive systems
Fei Long and Shumin Fei

A neural networks learning algorithm for minor component analysis and 
its convergence analysis
Dezhong Peng, Zhang Yi, JianCheng Lv and Yong Xiang

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CORRIGENDUM

Corrigendum to “Exponential state estimation for recurrent neural 
networks with distributed delays” [Neurocomputing 71(1–3) (2007) 428–438]
Tao Li and Shu-min Fei

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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT: 
http://www.sciencedirect.com/science/issue/5660-2008-999289992-683423