Paper:

# Predictor Using an Error-Convergence Neuron Network and its Application to Electrocardiograms

## Shunsuke Kobayakawa and Hirokazu Yokoi

Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka 808-0196, Japan

*J. Adv. Comput. Intell. Intell. Inform.*, Vol.15 No.1, pp. 21-33, 2011.

- [1] S. Grossberg, “Adaptive Pattern Classification and Universal Recoding: I. Parallel Development and Coding of Neural Feature Detectors,” Biological Cybernetics, Vol.23, No.3, pp. 121-134, 1976.
- [2] T. Kohonen, “Self-Organization and Associative Memory,” Springer-Verlag, Berlin etc., 1984.
- [3] E. Levin, N. Tishby, and S. Solla, “A statistical approach to learning and generalization in layered neural networks,” Proc. of the IEEE, Vol.78, Issue 10, pp. 1568-1574, 1990.
- [4] C. L. Giles and T. Maxwell, “Learning, Invariance and Generalization in High Order Neural Networks,” Applied Optics, Vol.26, No.23, pp. 4972-4978, 1987.
- [5] K. J. Lang and G. E. Hinton, “A Time-Delay Neural Network Architecture for Speech Recognition,” Carnegie Mellon University Computer Science Technical Report, CMU-CS-88-152, pp. 1-37, 1988.
- [6] S. Kobayakawa, T. Fujii, and H. Yokoi, “Evaluation of Prediction Capabilities of Neuron Networks Used for Electrocardiogram,” Proc. of the 5th Int. Symp. on Management Engineering, Kitakyushu, Japan, pp. 156-161, 2008.
- [7] T. Possio and F. Girosi, “Networks for Approximation and Learning,” Proc. of the IEEE, Vol.78, No.9, pp. 1481-1497, 1990.
- [8] S. Iwamoto, T. Yoshida, and H. Yokoi, “Basic Investigation Associated with Neural Control of Biped Walking Robot,” Technical Report of IEICE, MBE93-106, pp. 23-30, 1994.
- [9] Y. Fujisue, E. Inohira, and H. Yokoi, “Robotic Control by Volterra Network,” Technical Report of IEICE, NC2003-78, pp. 39-43, 2003.
- [10] S. Uota and H. Yokoi, “A Realization of Motion Diversity of the Robotic Hand by the Hierarchical Motion Schema,” Technical Report of IEICE, NC2003-75, pp. 25-28, 2003.
- [11] J. Miyoshi and H. Yokoi, “An Improvement of a Neural Network for Learning a Slip Angle of a Four-Wheel Steering Car,” Technical Report of IEICE, NC2004-107, pp. 87-90, 2004.
- [12] S. Shigemura, T. Nishimura, and H. Yokoi, “A Method of Removing Blink Artifacts from EEG Signals Using Neural Networks with Volterra Filters,” Technical Report of IEICE, MBE2004-87, pp. 57-60, 2005.
- [13] S. Suematsu and H. Yokoi, “A Motion Generating System for Multi-Fingered Myoelectric Hand,” Int. Congress Series 1291, pp. 257-260, 2006.
- [14] S. Kobayakawa, T. Fujii, and H. Yokoi, “Evaluation of Nonlinear Prediction Capabilities of Neuron Networks for Electrocardiogram,” Proc. of the 20th Annual Meeting of Biomedical Fuzzy Systems Association, pp. 9-12, 2007.
- [15] S. Kobayakawa and H. Yokoi, “The Volterra Filter Built-in Neural Network for the Aircraft Pitch Attitude Control,” The Lecture Proc. of the 2005 Fiscal Year Electricity Relation Institute Kyushu Branch Association Convention, Fukuoka, Japan, p. 429, 2005.
- [16] A. G. Ivakhnenko, “The Group Method of Data Handling-A Rival of the Method of Stochastic Approximation,” Soviet Automatic Control, Vol.13 c/c of Avtomatika, 1, 3, pp. 43-55. 1968.
- [17] A. D. Back and A. C. Tsoi, “FIR and IIR Synapses, A New Neural Network Architecture for Time Series Modeling,” Neural Computations, Vol.3, pp. 375-385, 1991.
- [18] M. Hoshino, T. Kitamura, T. Masuda, M. Suzuki, and J. Chao, “On Multilayer RBF Networks and a Novel Pyramid Network,” Proc. of the Society Conf. of IEICE, Nagoya, Japan, p. 28, 2000.
- [19] N. Kinoshita and K. Nakamura, “Two-D Spreading Associative Neural Network Recognizes the Shape and Position of An Object Presented in the Two-D Space,” Technical Report of IEICE, NC97-166, Vol.97, No.623-624, pp. 209-216, 1998.
- [20] S. Kobayakawa and H. Yokoi, “Application to Prediction Problem of Parallelized Neuron Networks in the Aircraft,” Technical Report of IEICE, SANE2006-119-133, Vol.106, No.471, pp. 43-45, 2007.
- [21] S. Kobayakawa and H. Yokoi, “Evaluation for Prediction Capability of Parallelized Neuron Networks,” Proc. of the 8th SOFT Kyushu Chapter Annual Conf., Kitakyushu, Japan, pp. 3-6, 2006.
- [22] S. Kobayakawa and H. Yokoi, “Evaluation of the Learning Capability of a Parallel-type Neuron Network,” Proc. of the First Int. Symp. on Information and Computer Elements 2007, Kitakyushu, Japan, pp. 43-47, 2007.
- [23] S. Kobayakawa and H. Yokoi, “Experimental Study for Dominance to Accuracy of Prediction Output of Parallel-type Neuron Network,” Technical Report of IEICE, NC2008-1-10, Vol.108, No.54, pp. 29-34, 2008.
- [24] S. Kobayakawa and H. Yokoi, “Evaluation for Prediction Accuracies of Parallel-type Neuron Network,” Int. MultiConf. of Engineers and Computer Scientists 2009 Proc., Hong Kong, China, Vol.I, pp. 156-161, 2009.
- [25] H. Yokoi and T. Kimoto, “Multilayered Neural Networks with Intermediate Elements,” J. of Biomedical Fuzzy Systems Association, Vol.1, No.1, pp. 87-97, 1999.
- [26] H. Sori and T. Yasuno, “Several-Hours-Ahead Wind Speed Prediction System Using Hierarchical Neural Network,” J. of Signal Processing, Vol.12, No.6, pp. 507-514, 2008.
- [27] A. Cichocki and A. Bargiela, “Neural Networks for Solving Linear Inequality Systems,” Parallel Computing, Vol.22, No.11, pp.1455-1475, 1997.
- [28] A. Cichocki and R. Unbehauen “Neural Networks for Optimisation and Signal Processing,” Wiley-Teubner, Chichester etc., 1993.
- [29] S. Kobayakawa, T. Fujii, and H. Yokoi, “Nonlinear Prediction for ECG by 2
^{nd}-order Volterra Neuron Network,” J. of Biomedical Fuzzy Systems Association, Vol.11, No.2, pp. 101-111, 2009. - [30] S. Kobayakawa and H. Yokoi, “Proposal of Error Convergence-type Neuron Network System,” Presented Proc. to 2008 Int. Symp. on Intelligent Informatics, Kumamoto, Japan, pp. 1-10, 2008.
- [31] D. E. Rumelhart, G. E. Hinton and R. J. Williams, “Learning Representations by Back-propagating Errors,” Nature, Vol.323, No.6088, pp. 533-536, 1986.
- [32] A. Chatterjee, A. Nait-Ali, and P. Siarry, “An Input-delay Neural-Network-Based Approach for Piecewise ECG Signal Compression,” IEEE Trans. on Biomedical Engineering, Vol.52, No.5, pp. 945-947, 2005.
- [33] S. Kobayakawa and H. Yokoi, “Proposal of Predictive Coding Using Error Convergence-type Neuron Network System,” The Proc. of the ISCA 22nd Int. Conf. on Computers and Their Applications in Industry and Engineering, San Francisco, USA, pp. 169-174, 2009.
- [34] S. Kobayakawa and H. Yokoi, “Evaluation of Learning Capabilities of BP Networks to Number of Input Signals,” Technical Report of IEICE, SANE2007-102-124, Vol.107, No.442, pp. 83-86, 2008.
- [35] “A Normal Sinus Rhythm ECG,” Yokoi Lab. Kyushu Institute of Technology, 1999.http://www.life.kyutech.ac.jp/˜yokoi/yokoi_lab_ecg.dat
- [36] M. Onodera, Y. Isu, U. Nagashima, H. Yoshida, H. Hosoya, and Y. Nagakawa, “Noise Filtering Using FFT, Bayesian Model and Trend Model for Time Series Data,” The J. of Chemical Software, Vol.5, No.3, pp. 113-127, 1999.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.