Selected
publications:
1. Cheng-Yuan
Liou and Ruey-Ming Liou (1989) Spatial pseudo-random array processing. IEEE Trans on Acoustic, Speech, and Signal
Processing, vol. 37, no. 9, page 1445-1449.
2. Cheng-Yuan Liou and Bruce R. Musicus (1990). Minimum
cross-entropy approach to power spectrum estimation. IEEE Trans. on Acoustics,
Speech and Signal Processing. Vol. 38, No. 1, pp. 105-113.
3. Shiao-Lin Lin, Jiann-Ming Wu, and Cheng-Yuan Liou (1992).
Annealing by perturbing synapses. IEICE Trans. on Information and Systems. Vol.
E75-D, No. 2, pp. 210-218.
4. Shiao-Lin Lin, Yi-Jean Tsai, and Cheng-Yuan Liou(1993). Conscious mental tasks with their EEG signals. Medical & Biological Engineering & Computing. Vol. 31, pp. 421-425.
5. Cheng-Yuan Liou and Jiann-Ming Wu (1996), Constructing a vector
field to accomplish autonomous navigation, Journal of Information Science and
Engineering, vol. 12, pp443-465, 1996
6. Cheng-Yuan Liou and Jiann-Ming Wu (1996). Self-organization
using Potts models. Neural Networks. Vol. 9, No. 4, pp 671-684.
8. Cheng-Yuan Liou and Quan-Ming Chang(1997). Neural mesh for the
Steiner tree problem, Journal of Information Science and Engineering, special
issue on Neural Network, vol. 13, pp335-354
9. Cheng-Yuan Liou and Wen-Pin Tai (1998), Maximum A Posteriori
Restoration of Blurred Image Using Self-Organization, Journal of Electronic
Imaging, Special Issue on Computational Intelligence in Image Processing,
January,vol. 7(1)/1.
11. Cheng-Yuan Liou and Wen-Pin Tai(1999), Conformal self-organization for continuity on a feature map, Neural Networks, vol. 12, page 893-905
12. Cheng-Yuan Liou, Shao-Kuo Yuan(1999), Error Tolerant
Associative Memory, Biological Cybernetics, vol. 81, page 331-342
13. Cheng-Yuan Liou and Wen-Pin Tai(2000), Conformality in the
self-organization network, Artificial Intelligence, vol. 116, page 265-286
14. Wen-Pin Tai and Cheng-Yuan Liou(2000), Image representation by
self-organizing conformal network, The Visual Computer, vol. 16, Issue 2, page
91-105
1. Cheng-Yuan Liou (1988). Design
of neural networks to classify sonar targets. Abstracts of The First Annual
International Neural Network Society's (INNS) Meeting, p 34. September 6-10,
1988, Boston, Massachusetts, USA
2. Cheng-Yuan Liou (1988), The two maximum-likelihood-like
cross-spectral estimates,
IEEE International Symposium on Information Theory, IT, June 19-24, Kobe, Japan
3. Cheng-Yuan Liou and Shiao-Lin Lin(1989). The other variant
Boltzmann machine. International Joint Conference on Neural Networks. Page
449-454. June 18-22, 1989, Washington, D. C., USA
4. Cheng-Yuan Liou and Jiann-Ming Wu(1992). Designing energy
surface for truck back-upper problem. Proceedings of IJCNN, Vol. III,
102-119.Beijing, Nov. 3-6, 1992
5. Cheng-Yuan Liou and Chwan-Yi Shiah(1993). Perception of speech
signals using self-organization on linear array neurons. Proceedings of the
1993 International Joint Conference on Neural Networks, Vol. 1, 251-254.October
25-29, Nagoya, Japan
6. Cheng-Yuan Liou and Wen-Jen Yu(1994). Initializing the weights
in multilayer network with quadratic sigmoid function. International Conference
on Neural Information Processing, page 1387-1392, serve as program committee
member, Seoul, October 17-20, 1994.
8. Cheng-Yuan Liou and Quan-Ming Chang (1996). Meshed snakes.
International Conference on Neural Networks. June 3-6, 1996, Washington D. C.,
USA. Vol. 3, pp. 1516-1521
9. Cheng-Yuan Liou and Quan-Ming Chang (1996) Numerical soap
film for the Steiner tree problem. International Conference on Neural
Information Processing (ICONIP), vol. 1, pp642-647,September 24-27, 1996, Hong
Kong
10. Cheng-Yuan Liou, Wen-Pin Tai, Fang-Ru Hsu and Hwai-Tsu Chang
(1996). Unwarping of continuous speech signals. IEEE Region Ten Conference
(TENCON), vol. 1, pp 46-51, November 27-19, 1996, Perth, Western Australia
(UWA)
11. Wen-Pin Tai, Ruei-Sung Lin, and Cheng-Yuan Liou (1997), Blind
Deconvolution by self-organization, International Conference on Neural
Networks, ICNN, vol. 3, pp1568-1573, June 8-12, 1997. Houston, USA
12. Cheng-Yuan Liou and Quan-Ming Chang (1997), Active Mesh for
Minimal Surface Problems, ICONIP, vol. 1, page 486-489, Dunedin, New Zealand,
Nov. 24-29, 1997
13. Cheng-Yuan Liou and Hwann-Tzong Chen (1998), Self-Relaxation
for Multilayer Perceptron, AFSS’98, The Third Asian Fuzzy Systems Symposium,
June 18-21,, Kyungnam University, Masan, Korea, p.113-117
15. Cheng-Yuan Liou, Hwann-Tzong Chen, and Jau-Chi Huang,
Separation of internal representations of the hidden layer, Proceedings of the
2000 International Computer Symposium, Workshop on Artificial Intelligence,
December 6-8, 2000, National Chung Cheng University, Chiayi
Reports and
miscellaneous
1. ‘台灣附近沿岸海流波譜分析研究’, 1978, 第27頁, 陳維宗, 劉長遠, 王安培, 台灣附近海域資源之研究與開發, 學術研討會論文摘要第27頁, 67年7月8日~9日, 台大海洋研究所編譯 國科會贊助
Neural network J-3,4,6,7,8,9,10,11,12,13,14 C-1,3,5,6,7,8,9,10,11,12,13, 15
Conformal
mapping J-11,13,14
Multilayer
network C-6,7,13,15
Self-organization network J-4,6,11,13,14, C-5,8
C-5,10,11
Hopfield
network J-3,6,8,10,12 C-3,8,9,12,
Boltzmann
machine J-3,6 C-3,
Atomata J-12
Musical
generating function J-10,12 C-7,13,15
Learning
J-6,12 C-3,6,7,13,14,15
Associative
memory J-12 C-15
Agent C-14
Path
planning J-5, C-4
Pattern
recognition J-7,10,12 C-13,15
Handprinted
character recognition J-7,10,12
Digital
signal processing J-1,2,4, C-1,2,5,10
Independent
component analysis J-2
Power
spectrum estimation J-1,2 C-1,2
Array signal
processing J-1,2
Sound signal
J-1,2 C-1,5,10
Speech
signal J-1,2 C-5,10
EEG mental
tasks J-4
Image
processing J-9,11,13,14 C-8,11
Image
restoration J-9, C-11
Image
construction J-11,13,14 C-8
Numerical
soap film J-8, C-8,9,12
Minimal
surface C-12
Steiner tree
J-8, C-9
Form model
J-11,13,14 C-15