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The progress of neural synaptic devices is experiencing an era of explosive growth. Given that the traditional storage system has yet to overcome the von Neumann bottleneck, it is critical to develop hardware with bioinspired information processing functions and lower power consumption. Transistors based on 2D materials, metal oxides, and organic materials have been adopted to mimic the synapse of...
The quality of peanut kernels is referred to the every aspect of the profit of supply and marketing. A BP neural network model of quality grade testing and identification is built which is based on 52 appearance features such as the form, texture, and color and so on with technology of computer image processing. The testing aiming at 1400 grains is made separately in unsound kernel, mildewing, impurity,...
Aiming at manually carry through optimization of experiment way adopted for traditional PID controller parameter, an optimization method based on improved ant colony algorithm for PID parameters of BP neural network is presented. The improved ant colony algorithm and BP neural is organically combined by this method. Which not only overcomes effectively the shortcoming of BP algorithm on some degree...
The robust stability is investigated for nonholonomic control systems in generalized chained form with strong nonlinear uncertainties. In order to make the origin be a solution of the closed-loop system and prevent the finite time escape phenomenon from happening, a new robust nonlinear switching law is proposed so that global asymptotic stability analysis can be dealt with for discontinuous closed-loop...
It is real-time interaction in the electrical characteristics between purchasing side and selling side of power grid, those two balanced at any time scales. So power optimization is a problem that is essentially overall optimization of transaction of purchasing and selling electricity. Trading patterns will change with fluctuations of demand-side response introduced in power market, mainly in trade...
This paper proposes a modified Gaussian Mixed Model (GMM) with an embedded Time Delay Neural Network (TDNN). It integrates the merits of GMM which is a generative model and TDNN which is a discriminative model. TDNN digests the timing information of the feature sequences, and through the transformation of the feature vectors it makes the hypothesis of variable independence that maximum likelihood...
This paper proposes a modified gaussian mixed model (GMM) with an embedded auto-associate neural network (AANN). It integrates the merits of GMM and AANN. GMM and AANN are trained as a whole by means of maximum likelihood. In the process of training, the parameter of GMM and AANN are updated alternately. AANN reshapes the distribution of the data and improves the similarity of the data in one class...
Routing protocols play an important role in WSNs in order to gather data and send them to the BS (Base Station). One of the challenges that the WSNs have to face is to prolong its lifetime since transmitting and receiving interest information are the most energy exhausting phase. In this paper, we introduced a new routing algorithm called SPER (Safe and Power –Efficient Routing Algorithm in Wireless...
A novel T-S fuzzy model-based method is proposed for controlling a class of chaotic (hyperchaotic) systems with uncertain parameters. The interval matrix theory is applied to describe the parametric uncertainty. The T-S fuzzy model is employed for accurately modeling the chaotic (hyperchaotic) systems. Based on the T-S fuzzy model, the parallel distributed compensation (PDC) technique is applied to...
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