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International Journal of Neural Systems, Volume 20
Volume 20, Number 1, February 2010
- Qiumei Cong, Wen Yu

, Tianyou Chai:
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks. 1-11 - Yang Yang

, Bao-Liang Lu
:
Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine. 13-28 - Alma Y. Alanis

, Edgar N. Sánchez, Luis J. Ricalde
:
Discrete-Time Reduced Order Neural Observers for Uncertain Nonlinear Systems. 29-38 - Hai-Bin Duan, Chun-Fang Xu, Zhi-Hui Xing:

A Hybrid Artificial Bee Colony Optimization and Quantum Evolutionary Algorithm for Continuous Optimization Problems. 39-50 - Fengge Wu, Fuchun Sun, Huaping Liu:

A Dual-Model Jumping Fuzzy System Approach to Networked Control Systems Design. 51-62 - Junfei Qiao, Hong-Gui Han:

A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling. 63-74 - Ruben Belmonte-Izquierdo, Salvador Carlos-Hernandez

, Edgar N. Sánchez:
A New Neural Observer for an Anaerobic Bioreactor. 75-86 - Pretesh B. Patel, Tshilidzi Marwala:

Caller Behaviour Classification Using Computational Intelligence Methods. 87-93
Volume 20, Number 2, April 2010
- Nikolay V. Manyakov

, Marc M. Van Hulle:
Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4. 95-108 - Defeng Wu

, Kevin Warwick
, Zi Ma, Mark Gasson, Jonathan G. Burgess, Song Pan, Tipu Z. Aziz:
Prediction of Parkinson's Disease tremor Onset Using a Radial Basis Function Neural Network Based on Particle Swarm Optimization. 109-116 - Martin Vejmelka

, Milan Palus
, Kristína Susmáková
:
Identification of nonlinear Oscillatory Activity Embedded in Broadband Neural Signals. 117-128 - Dimitris C. Theodoridis, Yiannis S. Boutalis, Manolis A. Christodoulou:

Indirect Adaptive Control of Unknown Multi Variable nonlinear Systems with Parametric and Dynamic Uncertainties Using a New Neuro-Fuzzy System Description. 129-148 - Marcos Angel Gonzalez-Olvera

, Ana Gabriela Gallardo-Hernández
, Yu Tang, Maria Cristina Revilla-Monsalve
, Sergio Islas-Andrade:
A Discrete-Time Recurrent Neurofuzzy Network for Black-Box Modeling of insulin Dynamics in Diabetic Type-1 Patients. 149-158 - Oliver Faust

, U. Rajendra Acharya
, Lim Choo Min, Bernhard H. C. Sputh:
Automatic Identification of Epileptic and Background EEG Signals Using Frequency Domain Parameters. 159-176
Volume 20, Number 3, June 2010
- Jochen Einbeck

, Ludger Evers, Benedict Powell:
Data Compression and Regression through Local Principal Curves and Surfaces. 177-192 - Ivan Tyukin

, Erik Steur, Henk Nijmeijer, David Fairhurst, Inseon Song, Alexey V. Semyanov
, Cees van Leeuwen
:
State and Parameter Estimation for Canonic Models of Neural oscillators. 193-207 - Junping Zhang, Uwe Krüger

, Xiaodan Wang, Dewang Chen
:
A Riemannian Distance Approach for Constructing Principal Curves. 209-218 - Alexander N. Gorban

, Andrei Yu. Zinovyev
:
Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems. 219-232 - P. J. Neefs, Erik Steur, Henk Nijmeijer:

Network Complexity and Synchronous Behavior - an Experimental Approach. 233-247
Volume 20, Number 4, August 2010
- Massimiliano Versace, Marco Zorzi

:
The Role of dopamine in the Maintenance of Working Memory in prefrontal Cortex Neurons: Input-Driven versus Internally-Driven Networks. 249-265 - Nikolay Chumerin

, Agostino Gibaldi
, Silvio P. Sabatini, Marc M. Van Hulle
:
Learning Eye Vergence Control from a Distributed Disparity Representation. 267-278 - Fengyu Cong

, Igor Kalyakin, Tiina Huttunen-Scott, Hong Li, Heikki Lyytinen, Tapani Ristaniemi:
Single-Trial Based Independent Component Analysis on mismatch Negativity in Children. 279-292 - Alexander Kaiser, Wolfram Schenck

, Ralf Möller
:
Coupled Singular Value Decomposition of a Cross-Covariance Matrix. 293-318 - Dimitris C. Theodoridis, Yiannis S. Boutalis, Manolis A. Christodoulou:

A New Direct Adaptive regulator with Robustness Analysis of Systems in Brunovsky Form. 319-339 - Hayssam J. Serhan, Chaiban G. Nasr, Patrick Henaff

:
Muscle Emulation with DC Motor and Neural Networks for Biped Robots. 341-353
Volume 20, Number 5, October 2010
- José Antonio Iglesias

, Plamen Angelov
, Agapito Ledezma
, Araceli Sanchis
:
Human Activity Recognition Based on Evolving Fuzzy Systems. 355-364 - Panagiotis Patrinos

, Alex Alexandridis
, Konstantinos Ninos, Haralambos Sarimveis:
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. 365-379 - Rafal Scherer

:
Designing Boosting Ensemble of Relational Fuzzy Systems. 381-388 - Ning Wang

, Meng Joo Er, Xianyao Meng, Xiang Li:
An Online Self-Organizing Scheme for Parsimonious and Accurate Fuzzy Neural Networks. 389-403 - X. Li, Meng Joo Er, Beng Siong Lim, J. H. Zhou, O. P. Gan, Leszek Rutkowski

:
Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection. 405-419 - Petia D. Koprinkova-Hristova

:
Backpropagation through Time Training of a Neuro-Fuzzy Controller. 421-428 - Wen Yu

, Xiaoou Li
:
Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing. 429-435
Volume 20, Number 6, December 2010
- Snjezana Soltic, Nikola K. Kasabov

:
Knowledge Extraction from Evolving Spiking Neural Networks with Rank Order Population Coding. 437-445 - Simon Johnston, Girijesh Prasad

, Liam P. Maguire
, T. Martin McGinnity
:
An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application. 447-461 - Thomas J. Strain, L. J. McDaid, T. Martin McGinnity

, Liam P. Maguire
, Heather M. Sayers:
An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons. 463-480 - Stefan Schliebs, Nikola K. Kasabov

, Michael Defoin-Platel:
On the Probabilistic Optimization of Spiking Neural Networks. 481-500 - Eric Nichols, L. J. McDaid, Mia Nazmul Haque Siddique:

Case Study on a Self-Organizing Spiking Neural Network for Robot Navigation. 501-508 - U. Rajendra Acharya

, Eric Chern-Pin Chua, Kuang Chua Chua, Lim Choo Min, Toshiyo Tamura
:
Analysis and Automatic Identification of Sleep Stages Using Higher Order Spectra. 509-521

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