applicationcomputer controlneural networkIn recent years, it is a very active direction of research to use neural network to control computer. Neural network is a burgeoning crossing subject, and the way it processes information is different from the past symbolic logic system, which has some ...
This paper gives a brief introduction to a new field in automatic control, which is neural network control(NNC). First, the development of neural network,the features of neural network and the temptation to automatic control are introduced. Common control schemes are discussed, simple explaination ...
Fujii and Ura (1991) then used both supervised and non-supervised learning system to construct neural network based controller for AUVs and compared the results. After him ANN had been used in different controlling aspects like temperature control (Cui et al., 1992), process control (Lee et al...
摘要: This paper gives an overview of the recent study on the applications of neural networks to the modeling and control field . As neural networks are the important tools for non linear system control, their tendency of development is discussed....
The direct application of this framework to general network controllability problems is, however, complicated by several factors13. First, finding the minimum set of driver nodes for an arbitrary network is NP hard14. Second, the design of an appropriate control signal is not specified in ref. ...
A neural network is defined as a computational model that imitates the biological nervous system in terms of architecture and information processing. It consists of interconnected processing elements trained using learning algorithms to classify unknown signals, with the multilayer perceptron network being ...
R. The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function. Science 242, 1654–1664 (1988). CAS PubMed Google Scholar Steriade, M. Cholinergic blockage of network- and intrinsically generated slow oscillations promotes waking and REM sleep ...
and the number of data elements in the file, but in a real application you would obviously parameterize these input values). Then call the previously coded init procedure to lay out the architecture of the neural network as well as randomly initialize the weights and biases of the network. ...
they assume that a common forcing input is applied to all oscillators. In addition, these control models are open-loop strategies: the authors give a number of motivations for this approach, stating that system dynamics and network connectivity is difficult to estimate and state information may be...
Many BEL-based network controllers produce good performances in controlling dynamic systems [32], [33], [34], [35]. The control performance is expected to be greatly improved if the fast responsive ability can be integrated with the excellent nonlinear approximation ability. The control system is...