Applications - A Hybrid Neurogenetic Approach for Stock Forecasting (English)
- New search for: Kwon, Y.-K.
- New search for: Kwon, Y.-K.
- New search for: Moon, B.-R.
In:
IEEE transactions on neural networks
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18
, 3
; 851-864
;
2007
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ISSN:
- Article (Journal) / Print
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Title:Applications - A Hybrid Neurogenetic Approach for Stock Forecasting
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Contributors:Kwon, Y.-K. ( author ) / Moon, B.-R.
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Published in:IEEE transactions on neural networks ; 18, 3 ; 851-864
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Publisher:
- New search for: Inst.
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Place of publication:New York, NY
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Publication date:2007
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ISSN:
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ZDBID:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
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- New search for: 54.72 / 54.00
- Further information on Basic classification
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Source:
Table of contents – Volume 18, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 617
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Deterministic Learning and Rapid Dynamical Pattern RecognitionCong Wang, / Hill, D.J. et al. | 2007
- 617
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Mathematical Foundations and Learning Theory - Deterministic Learning and Rapid Dynamical Pattern RecognitionWang, C. et al. | 2007
- 631
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Continuous-Time Adaptive CriticsHanselmann, T. / Noakes, L. / Zaknich, A. et al. | 2007
- 631
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Architectures and Algorithms - Continuous-Time Adaptive CriticsHanselmann, T. et al. | 2007
- 648
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Sparse Distributed Memory Using Rank-Order Neural CodesFurber, S.B. / Brown, G. / Bose, J. / Cumpstey, J.M. / Marshall, P. / Shapiro, J.L. et al. | 2007
- 648
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Architectures and Algorithms - Sparse Distributed Memory Using Rank-Order Neural CodesFurber, S.B. et al. | 2007
- 660
-
Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural NetworksPatan, K. et al. | 2007
- 660
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Architectures and Algorithms - Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural NetworksPatan, K. et al. | 2007
- 674
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Training Winner-Take-All Simultaneous Recurrent Neural NetworksXindi Cai, / Prokhorov, D.V. / Wunsch, D.C. et al. | 2007
- 674
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Architectures and Algorithms - Training Winner-Take-All Simultaneous Recurrent Neural NetworksCai, X. et al. | 2007
- 685
-
Neurodynamics and Attractor Networks - Fast Sparse Approximation for Least Squares Support Vector MachineJiao, L. et al. | 2007
- 685
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Fast Sparse Approximation for Least Squares Support Vector MachineLicheng Jiao, / Liefeng Bo, / Ling Wang, et al. | 2007
- 698
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Boolean Factor Analysis by Attractor Neural NetworkFrolov, A.A. / Husek, D. / Muraviev, I.P. / Polyakov, P.Yu. et al. | 2007
- 698
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Neurodynamics and Attractor Networks - Boolean Factor Analysis by Attractor Neural NetworkFrolov, A.A. et al. | 2007
- 708
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RCMAC Hybrid Control for MIMO Uncertain Nonlinear Systems Using Sliding-Mode TechnologyChih-Min Lin, / Li-Yang Chen, / Chiu-Hsiung Chen, et al. | 2007
- 708
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Control Estimation - RCMAC Hybrid Control for MIMO Uncertain Nonlinear Systems Using Sliding-Mode TechnologyLin, C.-M. et al. | 2007
- 721
-
An Approach to Estimating Product Design Time Based on Fuzzy $\nu$-Support Vector MachineHong-Sen Yan, / Duo Xu, et al. | 2007
- 721
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Control Estimation - An Approach to Estimating Product Design Time Based on Fuzzy n-Support Vector MachineYan, H.-S. et al. | 2007
- 732
-
Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory NetworksHoya, T. / Washizawa, Y. et al. | 2007
- 732
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Pattern Classification and Clustering - Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory NetworksHoya, T. et al. | 2007
- 745
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Unsupervised Learning of Gaussian Mixtures Based on Variational Component SplittingConstantinopoulos, C. / Likas, A. et al. | 2007
- 745
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Pattern Classification and Clustering - Unsupervised Learning of Gaussian Mixtures Based on Variational Component SplittingConstantinopoulos, C. et al. | 2007
- 756
-
A Weighted Voting Model of Associative MemoryXiaoyan Mu, / Watta, P. / Hassoun, M.H. et al. | 2007
- 756
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Pattern Classification and Clustering - A Weighted Voting Model of Associative MemoryMu, X. et al. | 2007
- 778
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A Class of Single-Class Minimax Probability Machines for Novelty DetectionKwok, J.T. / Tsang, I.W.-H. / Zurada, J.M. et al. | 2007
- 778
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Pattern Classification and Clustering - A Class of Single-Class Minimax Probability Machines for Novelty DetectionKwok, J.T. et al. | 2007
- 786
-
Explicit Magnification Control of Self-Organizing Maps for “Forbidden” DataMerenyi, E. / Jain, A. / Villmann, T. et al. | 2007
- 786
-
Pattern Classification and Clustering - Explicit Magnification Control of Self-Organizing Maps for "Forbidden" DataMerényi, E. et al. | 2007
- 798
-
Image Processing and Recognition - A Spatially Constrained Generative Model and an EM Algorithm for Image SegmentationDiplaros, A. et al. | 2007
- 798
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A Spatially Constrained Generative Model and an EM Algorithm for Image SegmentationDiplaros, A. / Vlassis, N. / Gevers, T. et al. | 2007
- 809
-
A Minimum-Range Approach to Blind Extraction of Bounded SourcesVrins, F. / Lee, J.A. / Verleysen, M. et al. | 2007
- 809
-
Signal Processing and Communication - A Minimum-Range Approach to Blind Extraction of Bounded SourcesVrins, F. et al. | 2007
- 823
-
Higher-Order-Statistics-Based Radial Basis Function Networks for Signal EnhancementLin, B.-S. / Bor-Shing Lin, / Fok-Ching Chong, / Lai, F. et al. | 2007
- 823
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Signal Processing and Communication - Higher-Order-Statistics-Based Radial Basis Function Networks for Signal EnhancementLin, B.-S. et al. | 2007
- 833
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Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech RecognitionJuang, C.-F. / Chiou, C.-T. / Chun-Lung Lai, et al. | 2007
- 833
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Applications - Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech RecognitionJuang, C.-F. et al. | 2007
- 844
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Applications - Iterative Least Squares Functional Networks ClassifierEl-Sebakhy, E.A. et al. | 2007
- 844
-
Iterative Least Squares Functional Networks ClassifierEl-Sebakhy, E.A. / Hadi, A.S. / Faisal, K.A. et al. | 2007
- 851
-
A Hybrid Neurogenetic Approach for Stock ForecastingYung-Keun Kwon, / Byung-Ro Moon, et al. | 2007
- 851
-
Applications - A Hybrid Neurogenetic Approach for Stock ForecastingKwon, Y.-K. et al. | 2007
- 865
-
An Improved Dynamic Neurocontroller Based on Christoffel SymbolsMulero-Martinez, J.I. et al. | 2007
- 865
-
Applications - An Improved Dynamic Neurocontroller Based on Christoffel SymbolsMulero-Martínez, J.I. et al. | 2007
- 880
-
Feedforward Neural Network Implementation in FPGA Using Layer Multiplexing for Effective Resource UtilizationHimavathi, S. / Anitha, D. / Muthuramalingam, A. et al. | 2007
- 880
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Implementations - Feedforward Neural Network Implementation in FPGA Using Layer Multiplexing for Effective Resource UtilizationHimavathi, S. et al. | 2007
- 889
-
Implementations - Real-Time Neural Network Inversion on the SRC-6e Reconfigurable ComputerDuren, R.W. et al. | 2007
- 889
-
Real-Time Neural Network Inversion on the SRC-6e Reconfigurable ComputerDuren, R.W. / Marks, R.J. / Reynolds, P.D. / Trumbo, M.L. et al. | 2007
- 902
-
Performance of the Bayesian Online Algorithm for the Perceptronde Oliveira, E.A. / Alamino, R.C. et al. | 2007
- 902
-
LETTERS - Performance of the Bayesian Online Algorithm for the PerceptronOliveira, E.A.de et al. | 2007
- 905
-
Variational Bayesian Approach to Canonical Correlation AnalysisChong Wang, et al. | 2007
- 905
-
LETTERS - Variational Bayesian Approach to Canonical Correlation AnalysisWang, C. et al. | 2007
- 910
-
Determination of the Number of Principal Directions in a Biologically Plausible PCA ModelJian Cheng Lv, / Zhang Yi, / Kok Kiong Tan, et al. | 2007
- 910
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LETTERS - Determination of the Number of Principal Directions in a Biologically Plausible PCA ModelLv, J.C. et al. | 2007
- 917
-
LETTERS - A Convex Approach to Validation-Based Learning of the Regularization ConstantPelckmans, K. et al. | 2007
- 917
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A Convex Approach to Validation-Based Learning of the Regularization ConstantPelckmans, K. / Suykens, J.A.K. / De Moor, B. et al. | 2007
- 921
-
Neural-Network-Based Nonlinear Adaptive Dynamical Decoupling ControlYue Fu, / Chai, T. et al. | 2007
- 921
-
LETTERS - Neural-Network-Based Nonlinear Adaptive Dynamical Decoupling ControlFu, Y. et al. | 2007
- 925
-
LETTERS - Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition ProblemKolman, E. et al. | 2007
- 925
-
Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition ProblemKolman, E. / Margaliot, M. et al. | 2007
- 931
-
Blind Image Deconvolution Through Support Vector RegressionLi, D. / Mersereau, R.M. / Simske, S. et al. | 2007
- 931
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LETTERS - Blind Image Deconvolution Through Support Vector RegressionLi, D. et al. | 2007
- 935
-
An Empirical Evaluation of the Fuzzy Kernel PerceptronCawley, G.C. et al. | 2007
- 935
-
LETTERS - An Empirical Evaluation of the Fuzzy Kernel PerceptronCawley, G.C. et al. | 2007
- 937
-
Neural Network Learning With Global Heuristic SearchJordanov, I. / Georgieva, A. et al. | 2007
- 937
-
LETTERS - Neural Network Learning With Global Heuristic SearchJordanov, I. et al. | 2007
- 942
-
A Geometrical Method to Improve Performance of the Support Vector MachineWilliams, P. / Sheng Li, / Jianfeng Feng, / Si Wu, et al. | 2007
- 942
-
LETTERS - A Geometrical Method to Improve Performance of the Support Vector MachineWilliams, P. et al. | 2007
- 947
-
Global Asymptotic Stability of Delayed Cellular Neural NetworksHuaguang Zhang, / Zhanshan Wang, et al. | 2007
- 947
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LETTERS - Global Asymptotic Stability of Delayed Cellular Neural NetworksZhang, H. et al. | 2007
- 950
-
Packet Loss Rate Prediction Using the Sparse Basis Prediction ModelAtiya, A.F. / Sung Goo Yoo, / Kil To Chong, / Hyongsuk Kim, et al. | 2007
- 950
-
LETTERS - Packet Loss Rate Prediction Using the Sparse Basis Prediction ModelAtiya, A.F. et al. | 2007
- 955
-
Gabor-Like Image Filtering Using a Neural MicrocircuitMayr, C. / Heittmann, A. / Schuffny, R. et al. | 2007
- 955
-
LETTERS - Gabor-Like Image Filtering Using a Neural MicrocircuitMayr, C. et al. | 2007
- 959
-
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer WeightsRomero, E. / Toppo, D. et al. | 2007
- 959
-
LETTERS - Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer WeightsRomero, E. et al. | 2007
- 964
-
Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control (Spall, J.C.; 2003) [book review]Nowak, W. et al. | 2007
- 964
-
BOOK REVIEWS - Introduction to Stochastic Search and Optimization. Estimation, Simulation, and ControlNowak, W. et al. | 2007
- 964
-
Combining Pattern Classifiers: Methods and Algorithms (Kuncheva, L.I.; 2004) [book review]Alpaydin, Ethem et al. | 2007
- 964
-
Combining Pattern Classifiers: Methods and AlgorithmsAlpaydin, E. et al. | 2007
- 964
-
Introduction to Stochastic Search and Optimization. Estimation, Simulation, and ControlNowak, W. et al. | 2007
- 964
-
BOOK REVIEWS - Combining Pattern Classifiers: Methods and AlgorithmsAlpaydin, E. et al. | 2007
- 965
-
BOOK REVIEWS - Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence)Ritter, G.X. et al. | 2007
- 965
-
Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence) (Kaburlasos, V.G.; 2006) [book review]Ritter, Gerhard et al. | 2007
- 965
-
Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications (Studies in Computational Intelligence)Ritter, G. X. et al. | 2007
- 967
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In this issue - Technically| 2007
- 967
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ANNOUNCEMENT - Call for Papers -- 2008 International Joint Conference on Neural Networks| 2007
- 968
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Quality without compromise| 2007
- C1
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Table of contents| 2007
- C2
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IEEE Transactions on Neural Networks publication information| 2007
- C3
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IEEE Computational Intelligence Society Information| 2007