Connectionists: Neurocomputing volume 70 (issues 1-3)

[Tom Heskes]

Neurocomputing volume 70 (issues 1-3)

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SPECIAL PAPERS
(7th Brazilian Symposium on Neural Networks
edited by A.F.R. Araújo and A. de Carvalho)

The Brazilian Symposium on Neural Networks (SBRN’04)
Aluízio F.R. Araújo and André de Carvalho

A computational model of the primary auditory cortex exhibiting 
plasticity in the frequency representation
Marilene de Pinho, Marcelo Mazza and Antônio C. Roque

Using non-linear even functions for error minimization in adaptive filters
Allan Kardec Barros, Jose Principe, Yoshinori Takeuchi and Noboru Ohnishi

Reinforcement learning of a simple control task using the spike response 
model
Murilo Saraiva de Queiroz, Roberto Coelho de Berrêdo and Antônio de 
Pádua Braga

Influence zones: A strategy to enhance reinforcement learning
Arthur Plínio de S. Braga and Aluízio F.R. Araújo

The best currently known class of dynamically equivalent cellular 
automata rules for density classification
Pedro P.B. de Oliveira, José C. Bortot and Gina M.B. Oliveira

Use of gene dependent mutation probability in evolutionary neural 
networks for non-stationary problems
Renato Tinós and André C.P.L.F. de Carvalho

Determination of multiple direction of arrival in antennas arrays with 
radial basis functions
Osmar de Araújo Dourado Júnior, Adrião Duarte Dória Neto and Wilson da Mata

Improving self-organization of document collections by semantic mapping
Renato Fernandes Corrêa and Teresa Bernarda Ludermir

Combining an evolutionary algorithm with data mining to solve a 
single-vehicle routing problem
H.G. Santos, L.S. Ochi, E.H. Marinho and L.M.A. Drummond

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REGULAR PAPERS

Detecting novelties in time series through neural networks forecasting 
with robust confidence intervals
Adriano L.I. Oliveira and Silvio R.L. Meira

Developing parallel sequential minimal optimization for fast training 
support vector machine
L.J. Cao, S.S. Keerthi, C.J. Ong, P. Uvaraj, X.J. Fu and H.P. Lee

Neural network approach to contingency screening and ranking in power 
systems
K. Shanti Swarup and G. Sudhakar

Neural computation using discrete and continuous Hopfield networks for 
power system economic dispatch and unit commitment
K. Shanti Swarup and P.V. Simi

Concurrent genetic optimization for joint design of source and channel codes
Chien-Min Ou, Wen-Jyi Hwang, Wen-Wei Hu and Tsung-Yan Lo

Wavelet-based nonlinear multiscale decomposition model for electricity 
load forecasting
D. Benaouda, F. Murtagh, J.-L. Starck and O. Renaud

A novel mixture of experts model based on cooperative coevolution
Minh Ha Nguyen, Hussein A. Abbass and Robert I. Mckay

Dynamics of periodic Cohen–Grossberg neural networks with varying delays
Zhaohui Yuan, Lifen Yuan and Lihong Huang

A meta-learning approach to automatic kernel selection for support 
vector machines
Shawkat Ali and Kate A. Smith-Miles

Ensemble classifiers based on correlation analysis for DNA microarray 
classification
Kyung-Joong Kim and Sung-Bae Cho

Inhibitory control of spike timing precision
M. Ambard and D. Martinez

Balanced parameterization of multichannel blind deconvolutive systems: A 
continuous time realization
Liangsuo Ma and Ah Chung Tsoi

Linear stability and Hopf bifurcation in a three-unit neural network 
with two delays
Shaofen Zou, Lihong Huang and Yuming Chen

A modified infomax algorithm for blind signal separation
Hyung-Min Park, Sang-Hoon Oh and Soo-Young Lee

Self-generation RBFNs using evolutional PSO learning
Hsuan-Ming Feng

Simulation of neural population dynamics with a refractory density 
approach and a conductance-based threshold neuron model
Anton V. Chizhov, Lyle J. Graham and Andrey A. Turbin

Quantitative measure of complexity of the dynamic event-related EEG data
Xiao-mei Pei, Chong-xun Zheng, Wei-xing He and Jin Xu

On the global robust asymptotic stability of BAM neural networks with 
time-varying delays
Xuyang Lou and Baotong Cui

Melt index prediction by neural networks based on independent component 
analysis and multi-scale analysis
Jian Shi, Xinggao Liu and Youxian Sun

Neural network control of flexible-link manipulators using sliding mode 
Yuangang Tang, Fuchun Sun and Zengqi Sun

Adaptive neuro-fuzzy inference system to compute quasi-TEM 
characteristic parameters of microshield lines with practical cavity 
sidewall profiles
Elif Derya Übeyli and I.nan Güler

Feature selection and classification using flexible neural tree
Yuehui Chen, Ajith Abraham and Bo Yang

On global exponential stability of generalized stochastic neural 
networks with mixed time-delays
Yurong Liu, Zidong Wang and Xiaohui Liu

NeuGen: A tool for the generation of realistic morphology of cortical 
neurons and neural networks in 3D
J.P. Eberhard, A. Wanner and G. Wittum

Global exponential stability of periodic neural networks with 
time-varying delays
Haijun Jiang and Jinde Cao

Generalization ability of Boolean functions implemented in feedforward 
neural networks
Leonardo Franco

Convergence analysis of Xu's LMSER learning algorithm via deterministic 
discrete time system method
Jian Cheng Lv, Zhang Yi and K.K. Tan

Interpretation of perceptron weights as constructed time series for EEG 
classification
Dik Kin Wong, E. Timothy Uy, Marcos Perreau Guimaraes, Wayne Yang and 
Patrick Suppes

Extracting rules from multilayer perceptrons in classification problems: 
A clustering-based approach
Eduardo R. Hruschka and Nelson F.F. Ebecken

Inversion-based nonlinear adaptation of noisy acoustic parameters for a 
neural/HMM speech recognizer
Edmondo Trentin and Marco Gori

Short-term ANN load forecasting from limited data using generalization 
learning strategies
Zeke S.H. Chan, H.W. Ngan, A.B. Rad, A.K. David and N. Kasabov

Non-flat function estimation with a multi-scale support vector regression
Danian Zheng, Jiaxin Wang and Yannan Zhao

Multiple recurrent neural networks for stable adaptive control
Wen Yu

A fast modified constructive-covering algorithm for binary multi-layer 
neural networks
Di Wang and Narendra. S. Chaudhari

Sparse support vector regression based on orthogonal forward selection 
for the generalised kernel model
X.X. Wang, S. Chen, D. Lowe and C.J. Harris

The regularized LVQ1 algorithm
Sergio Bermejo

Extreme learning machine: Theory and applications
Guang-Bin Huang, Qin-Yu Zhu and Chee-Kheong Siew

Inverse training scheme for MS_CMAC neural network to handle random 
training data
Jiun-Chi Jan, Chih-Ming Chen and Liang-Hao Hsiao

A set of nonlinear equations and inequalities arising in robotics and 
its online solution via a primal neural network
Yunong Zhang

An efficient hidden layer training method for the multilayer perceptron 
Changhua Yu, Michael T. Manry, Jiang Li and Pramod Lakshmi Narasimha

Dynamical behaviors of Cohen–Grossberg neural networks with delays and 
reaction–diffusion terms
Hongyong Zhao and Kunlun Wang

A new training and pruning algorithm based on node dependence and 
Jacobian rank deficiency
Jinhua Xu and Daniel W.C. Ho

Mold temperature control of a rubber injection-molding machine by 
TSK-type recurrent neural fuzzy network
Chia-Feng Juang, Shui-Tien Huang and Fun-Bin Duh

Modified gradient algorithm for total least square filtering
Xiangyu Kong, Chongzhao Han and Ruixuan Wei

PIRANHA: Policy iteration for recurrent artificial neural networks with 
hidden activities
István Szita and András Lo"rincz

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BRIEF PAPERS

A novel full structure optimization algorithm for radial basis 
probabilistic neural networks
Ji-Xiang Du, De-Shuang Huang, Guo-Jun Zhang and Zeng-Fu Wang

Three-dimensional surface registration: A neural network strategy
Heng Liu, Jingqi Yan and David Zhang

Stability analysis of an unsupervised neural network with feedforward 
and feedback dynamics
A. Meyer-Baese and S. Pilyugin


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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT:
http://www.sciencedirect.com/science/issue/5660-2006-999299998-636228