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ISNN
2007
Springer
9 years 8 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek
ISNN
2007
Springer
9 years 8 months ago
Fast Code Detection Using High Speed Time Delay Neural Networks
This paper presents a new approach to speed up the operation of time delay neural networks for fast code detection. The entire data are collected together in a long vector and then...
Hazem M. El-Bakry, Nikos E. Mastorakis
ISNN
2007
Springer
9 years 8 months ago
Combining News and Technical Indicators in Daily Stock Price Trends Prediction
Stock market prediction has always been one of the hottest topics in research, as well as a great challenge due to its complex and volatile nature. However, most of the existing me...
Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge
ISNN
2007
Springer
9 years 8 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
ISNN
2007
Springer
9 years 8 months ago
Hybrid Pipeline Structure for Self-Organizing Learning Array
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
Janusz A. Starzyk, Mingwei Ding, Yinyin Liu
ISNN
2007
Springer
9 years 8 months ago
Sparse Coding in Sparse Winner Networks
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
Janusz A. Starzyk, Yinyin Liu, David D. Vogel
ISNN
2007
Springer
9 years 8 months ago
Integrated Analytic Framework for Neural Network Construction
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
Kang Li, Jian Xun Peng, Minrui Fei, Xiaoou Li, Wen...
ISNN
2007
Springer
9 years 8 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
ISNN
2007
Springer
9 years 8 months ago
Hybrid Systems and Artificial Immune Systems: Performances and Applications to Biomedical Research
In this paper we propose a comparative study of Artificial Neural Networks (ANN) and Artificial Immune Systems. Artificial Immune Systems (AIS) represent a novel paradigm in the fi...
Vitoantonio Bevilacqua, Cosimo G. de Musso, Filipp...
ISNN
2007
Springer
9 years 8 months ago
A Connectionist Thematic Grid Predictor for Pre-parsed Natural Language Sentences
Abstract. Inspired on psycholinguistics and neuroscience, a symbolicconnectionist hybrid system called θ-Pred (Thematic Predictor for natural language) is proposed, designed to re...
João Luís Garcia Rosa
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