Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yi-Hu Wu"'
Publikováno v:
Economic Research-Ekonomska Istraživanja. 36
Publikováno v:
Transportation Planning and Technology. 39:791-800
In order to improve traffic safety and protect pedestrians, an improved and efficient pedestrian detection method for auto driver assistance systems is proposed. Firstly, an improved Accumulate Binary Haar (ABH) feature extraction algorithm is propos
Publikováno v:
Applied Mechanics and Materials. :954-959
Considering ‘The state of car is the outside and mechanized expression of driver character’, the HRV sets of driver are input which could show the chaos characteristic, the constructed variable named ‘safety time coefficient’ is set up as out
Publikováno v:
Applied Mechanics and Materials. :157-163
The internal structure of the road safety system is extremely complex and it is affected by a lot of factors, each factor weights can not be fully established. In this article, we expressed the attribute value with a fuzzy interval number, the compre
Publikováno v:
IEEE Transactions on Neural Networks. 19:1615-1625
A new feedback-linearization-based neural network (NN) adaptive control is proposed for unknown nonaffine nonlinear discrete-time systems. An equivalent model in affine-like form is first derived for the original nonaffine discrete-time systems as fe
Publikováno v:
Journal of Central South University of Technology. 14:685-689
To avoid unstable learning, a stable adaptive learning algorithm was proposed for discrete-time recurrent neural networks. Unlike the dynamic gradient methods, such as the backpropagation through time and the real time recurrent learning, the weights
Publikováno v:
2010 International Conference on Measuring Technology & Mechatronics Automation (ICMTMA); 2010, p40-45, 6p
Publikováno v:
2010 International Conference on Intelligent Computation Technology & Automation (ICICTA); 2010, p700-704, 5p
Autor:
Zhi-xiang Hou, Yi-hu Wu
Publikováno v:
2008 7th World Congress on Intelligent Control & Automation; 2008, p705-709, 5p
Publikováno v:
2008 International Conference on Intelligent Computation Technology & Automation (ICICTA); 2008, p703-707, 5p