Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Yasuhiko Dote"'
Publikováno v:
HIS
The stock markets are well known for wide variations in prices over short and long terms. These fluctuations are due to a large number of deals produced by agents and act independently from each other. However. even in the middle of the apparently ch
A Robust Watermarking Method for Copyright Protection of Digital Images using Wavelet Transformation
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 123:262-266
A multiresolution wavelet transformation based robust watermarking method is introduced. The coefficients of watermark are embedded into those of host image at different transformation level using a secret key. Watermark is extracted using the same k
Autor:
Yasuhiko Dote, Seppo J. Ovaska
Publikováno v:
Proceedings of the IEEE. 89:1243-1265
Fuzzy logic, neural networks, and evolutionary computation are the core methodologies of soft computing (SC). SC is causing a paradigm shift in engineering and science fields since it can solve problems that have not been able to be solved by traditi
Publikováno v:
Journal of Robotics and Mechatronics. 12:702-705
This paper compares the performance of nonlinear Radial Basis Function Network-based (RBFN) and linear AutoRegressive (AR) model-based General Parameter (GP) methods in a fault detection application. We use the efficient GP approach for initializing
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 120:1435-1440
This book contains recent theoretical innovations and a comprehensive collection of industrial applications in the emerging field of Soft Computing. Soft computing is a new form of artificial intelligence and it consists of four core methodologies: F
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Systems. 10:973-982
Publikováno v:
IFAC Proceedings Volumes. 30:795-800
A novel system identification method based on variable structure neural networks is proposed. The background of the developed approach is General Parameter (GP) method of complex system identification which has effective training features and provide
Autor:
Yasuhiko Dote, Daouren F. Akhmetov
Publikováno v:
IFAC Proceedings Volumes. 28:75-82
A novel neural network learning procedure which has faster training features suitable to real-time implementation is proposed. Then, improved structure backpropagation and radial basis function networks by using the proposed learning scheme are devel
Autor:
Miguel Strefezza, Yasuhiko Dote
Publikováno v:
Integrated Computer-Aided Engineering. 2:87-95