Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Caigen Zhou"'
Publikováno v:
2021 International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA).
Neural networks have important applications in associative memory design. In the design of associative memory, it is often necessary to obtain the weight values among the neurons through learning, and the calculation complexity is often high. This wi
Publikováno v:
International Journal for Innovation Education and Research. 6:189-196
Teacher learning is characterized by informal learning and lifelong learning. Mobile devices and personal space in the information environment provide convenient conditions for the professional development of teachers. China's WeChat uses smart phone
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 28:2479-2489
In this paper, local bipolar auto-associative memories are presented based on discrete recurrent neural networks with a class of gain type activation function. The weight parameters of neural networks are acquired by a set of inequalities without the
Publikováno v:
Neurocomputing. 203:92-101
This paper investigates the problem of exponential stabilization for a class of nonlinear fuzzy impulsive systems with time-varying delay. Firstly, the systems are expressed by the extended Takagi-Sugeno (T-S) fuzzy model. Secondly, the combination o
Publikováno v:
Neurocomputing. 186:44-53
A unified associative memory model with a novel method for designing associative memories is presented in this paper. Based on continuous recurrent neural networks, bipolar patterns inputted from external can cause the output of neural networks to be
Publikováno v:
International Journal of Control, Automation and Systems. 13:1369-1374
In this paper, we study the problem of impulsive output consensus of multi-agent dynamical systems, where each agent is a passive system. Firstly, an impulsive control protocol is designed for networked passive systems based on the local information
Publikováno v:
Neurocomputing. 162:201-208
This paper presents a novel method for designing associative memories based on discrete recurrent neural networks to accurately memorize the networks? external inputs. In the method, a generalized model is proposed for bipolar auto-associative memory
Publikováno v:
International Journal of Signal Processing, Image Processing and Pattern Recognition. 8:65-76
With the continuous development of computer science and technology, image processing and analysis gradually form the scientific system. Although history of image processing is not long, it attracts many researchers study on it. Digital media image wi
Publikováno v:
International Journal of Control, Automation and Systems. 10:824-829
In this paper, we investigate the consensus problem of multi-agent systems with dead-zone nonlinearity over undirected networks. Firstly, a control protocol is designed based on the local information of agents. Then by LaSalle’s invariance principl
Publikováno v:
Advanced Science Letters. 11:642-646