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IJCNN
2007
IEEE
10 years 9 months ago
Nonlinear systems identification via two types of recurrent fuzzy CMAC
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
IJCNN
2007
IEEE
10 years 9 months ago
A Hybrid HMM/ANN Based Approach for Online Signature Verification
: This paper presents a new approach based on HMM/ANN hybrid for online signature verification. A group of ANNs are used as local probability estimators for an HMM. The Viterbi alg...
Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwo...
IJCNN
2007
IEEE
10 years 9 months ago
On Extending the SMO Algorithm Sub-Problem
—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
Christopher Sentelle, Michael Georgiopoulos, Georg...
IJCNN
2007
IEEE
10 years 9 months ago
Computational Templates, Neural Network Dynamics, and Symbolic Logic
— The relationship between subsymbolic neural networks and symbolic logical systems is discussed from the point of view of the account of computational science by Paul Humphreys ...
Otto Lappi
IJCNN
2007
IEEE
10 years 9 months ago
Neurolinguistic Approach to Vector Representation of Medical Concepts
Abstract—Putative brain processes responsible for understanding language are based on spreading activation in semantic networks, providing enhanced representations that involve c...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
IJCNN
2007
IEEE
10 years 9 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
IJCNN
2007
IEEE
10 years 9 months ago
Maximum Margin based Semi-supervised Spectral Kernel Learning
Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King
IJCNN
2007
IEEE
10 years 9 months ago
Compact hardware for real-time speech recognition using a Liquid State Machine
Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
Benjamin Schrauwen, Michiel D'Haene, David Verstra...
IJCNN
2007
IEEE
10 years 9 months ago
Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms
—In this paper we present two algorithms that automatically calculate linear expressions for Time Series. To estimate the maximum number of terms of the linear expression and the...
Pedro Flores, Carlos Anaya, Hector M. Ramirez, Lui...
IJCNN
2007
IEEE
10 years 9 months ago
Toyota Prius HEV neurocontrol
A neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric vehicle is proposed. A new method to detect and mitigate a battery fault is also pres...
Danil V. Prokhorov
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