🏛️國立陽明交通大學機構典藏

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FREE-CARRIER ABSORPTION IN N-TYPE GALLIUM-ARSENIDE IN QUANTIZING MAGNETIC-FIELDS
(1991-03-15)
WU, CC
;
TSAI, J
;
LIN, CJ
;
應用數學系
;
電子工程學系及電子研究所
Free-carrier absorption in n-type GaAs in quantizing magnetic fields has been investigated quantum mechanically. It is assumed that the energy gand of electrons in semiconductors is nonparabolic and the dominant scattering mechanism for electrons is acoustic-phonon scattering via deformation-potential coupling. When the radiation field is polarized parallel to the magnetic field, the free-carrier absorption coefficient assumes a complex value due to the ac radiation and phonon fields. Our results show that the real part of the absorption coefficient and the imaginary part of the absorption coefficient oscillate with the magnetic field. However, at very low temperatures, oscillations in the imaginary part are diminished and its value decreases rapidly with increasing magnetic field.
ADAPTIVE FUZZY CONTROL OF UNSTABLE NONLINEAR-SYSTEMS
(1995-09-01)
LIN, CJ
;
LIN, CT
;
電控工程研究所
;
Institute of Electrical and Control Engineering
This paper addresses the structure and an associated on-line learning algorithm of a feedforward multilayer connectionist network for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed Fuzzy Adaptive Learning Control Network (FALCON) can be contrasted with the traditional fuzzy logic control systems in their network structure and learning ability. An on-line structure/parameter learning algorithm, called FALCON-ART, is proposed for constructing the FALCON dynamically. The FALCON-ART can partition the input/output space in a flexible way based on the distribution of the training data. Hence it can avoid the problem of combinatorial growing of partitioned grids in some complex systems. It combines the backpropagation learning scheme for parameter learning and the fuzzy ART algorithm for structure learning. More notably, the FALCON-ART can on-line partition the input/output spaces, tune membership functions, and find proper fuzzy logic rules dynamically without any a priori knowledge or even any initial information on these. The proposed learning scheme has been successfully used to control two unstable nonlinear systems. They are the seesaw system and the inverted wedge system.
THE EFFECT OF SCATTERING MECHANISMS ON TRANSVERSE MAGNETORESISTANCE IN PIEZOELECTRIC SEMICONDUCTORS
(1987-01-01)
WU, CC
;
LIN, CJ
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
EFFECT OF NONPOLAR OPTICAL PHONON-SCATTERING ON FREE-CARRIER ABSORPTION IN QUANTIZING MAGNETIC-FIELDS
(1993)
WU, CC
;
LIN, CJ
;
電控工程研究所
;
Institute of Electrical and Control Engineering
AN ART-BASED FUZZY ADAPTIVE LEARNING CONTROL NETWORK
(1994)
LIN, CJ
;
LIN, CT
;
電控工程研究所
;
Institute of Electrical and Control Engineering
Neural fuzzy control of unstable nonlinear systems
(1995)
LIN, CT
;
LIN, CJ
;
CHUNG, IF
;
電控工程研究所
;
Institute of Electrical and Control Engineering
REINFORCEMENT LEARNING FOR ART-BASED FUZZY ADAPTIVE LEARNING CONTROL NETWORKS
(1995)
LIN, CJ
;
LIN, CT
;
電控工程研究所
;
Institute of Electrical and Control Engineering
ANALYSIS OF MODIFIED-MODEL FOR COMMERCIAL FISHING WITH POSSIBLE EXTINCTIVE FISHERY RESOURCES
(1981)
CHENG, KS
;
LIN, CJ
;
WANG, AY
;
應用數學系
;
Department of Applied Mathematics
MAGNETIC-FIELD DEPENDENCE OF ELECTRON-DENSITY IN BISMUTH
(1983)
WU, CC
;
CHEN, MH
;
LIN, CJ
;
應用數學系
;
電控工程研究所
ENERGY-BANDS AND ELECTRON-DENSITY IN BISMUTH WITH A UNIFORM DC MAGNETIC-FIELD
(1984)
CHEN, MH
;
WU, CC
;
LIN, CJ
;
應用數學系
;
電控工程研究所

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🏛️國立陽明交通大學機構典藏

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