The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Energy of active RFID tags is limited for data being transmitted to the Reader, so a new method for Sustained data acquisition of RFID reader with 2.45 GHz band is proposed to reduce Power Consumption of the tags. After tags being identified by the reader, a communication mechanism which is used by active tags to upload data sustainably with allocated time slots without collision is adopted based...
A new recurrent neural network (or say, net), i.e., Zhang Neural Network (ZNN), is recently proposed by Zhang et al for online time-varying matrix equations solving. Theoretical analysis, blocks modeling and verification results of Zhang neural network are investigated in this paper, in addition to the neural-solver design method and its comparable gradient neural network (GNN). Towards the final...
Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially,...
Besides scoring function methods, correlation analysis is another index to indicate homology of the sequences. In this paper, the statistical properties of correlation between two comparing sequences were analyzed. Natural gradient method was proposed to extract the most uncorrelated components of sequences in an adaptive way and the optimal Performance Index (PI) was to measure the correlation between...
In view of the great potential in parallel processing and ready implementation via hardware, neural networks are now often employed to solve online matrix algebraic problems. Recently, a special kind of recurrent neural network has been proposed by Zhang et al, which could be generalized to solving online Lyapunov equation with time-varying coefficient matrices. In comparison with gradient-based neural...
The optimal VLSI architecture and algorithm for computing lifting based wavelet is presented. For the (5, 3) filter, the division by four or by two is implemented with look-up table (LUT). But for the (9, 7) filter, the operation is more complex. We present the fragment look-up table algorithm implements the multipliers. The algorithm can reuse the small memory to realize high precision for the multipliers...
To obtain the inverses of time-varying matrices in real time, a special kind of recurrent neural networks has recently been proposed by Zhang et al. It is proved that such a Zhang neural network (ZNN) could globally exponentially converge to the exact inverse of a given time-varying matrix. To find out the effect of time-derivative term on global convergence as well as for easier hardware-implementation...
Based on polynomial interpolation and approximation theory, a special feed-forward neural network using power activation functions is constructed in this paper. The neural model employs a three-layer structure with the hidden-layer neurons activated by a group of order-increasing power functions (while other layerspsila neurons use linear activation functions). In addition, the weights-updating formula...
This paper presents a simplified primal-dual neural network based on linear variational inequalities (LVI) for online repetitive motion planning of PA10 robot manipulator. To do this, a drift-free criterion is exploited in the form of a quadratic function. In addition, the repetitive-motion-planning scheme could incorporate the joint limits and joint velocity limits simultaneously. Such a scheme is...
For solving online the linear matrix equation AXB = C with time-varying coefficients, this paper presents a special kind of recurrent neural networks by using a design method recently proposed by Zhang et al. Compared with gradient neural networks (abbreviated as GNN, or termed as gradient-based neural networks), the resultant Zhang neural network (termed as such and abbreviated as ZNN hereafter for...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.