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.
In this paper, a novel method based on Hilbert-Huang Transform (HHT) and backpropagation (BP) neural network is proposed to perform automatic sleep stages classification. Features extracted from 30-second epoch of EEG using HHT are good representations of EEG signal. A three-layer BP neural network is employed to classify these features to one appropriate stage. For a four-stage classification, consisting...
Water quality model is a useful tool to evaluate the future state of river water through evaluation of actual pollution loading or different management options. Based on the human brain physiology research, artificial neural network(ANN), which simulates the structure and mechanism of the human brain, is a kind of dynamic information processing system that eventually achieves certain functions of...
In many models of customer relationship management (CRM) analysis, RFM model is widely accepted. RMF model is an important tool to weigh customer value and customer profitability. To address this issue, this paper closely combines the rough set theory with neural network and uses rough set theory to process the random sample data from dataset. Then the data is projected from high-dimensional to low-dimensional,...
A new neural network model to predict hysteresis output in piezoelectric actuator is presented. An improved Preisach operator description is given and analyzed in detail. The hysteresis model is implemented with a Neural Network Model to construct a classical Preisach model. The experiment results show the validity for predicting the output of hysteresis in the piezoelectric actuators.
In this paper, using factor analysis to study the sources of China's financial risk, concluded that the major factor of the financial risks is macroeconomic risk, foreign investment risk, banking risk and the stock market risk; using BP artificial neural network model for the establishment of early warning and training and testing the sample data with it, and then prediction the state of the financial...
Recently, a new routing protocol notes as enhanced tree routing (ETR) has been designated for wireless sensor networks. However, when using the ETR to determine next-hop neighbor, only the reduced hops via them are employed, but the residual energies of one-hop neighbors are not considered. To overcome this flaw of ETR, we propose an improved ETR with energy awareness (ETREA) for sensor network. This...
Maintenance of software involves debugging of errors and implementations of enhancement requested by users, these both cause the reliability of software decreased. For the systems that have been used for a considerably long period of time, the various details concerning the initial development phase are usually not known to the users who are responsible for the maintenance of these systems. These...
Due to the fluctuation and complexity of the financial time series, it is difficult to use any single artificial technique to capture its non-stationary property and accurately describe its moving tendency. So a novel hybrid intelligent forecasting model based on empirical mode decomposition (EMD) and support vector regression (SVR) is proposed. EMD can adaptively decompose the complicated raw data...
The ultimate bearing capacity of single driven pile increases with time after pile installation, and it is of great importance to foundation design. Although various methods have been established to study this time-dependent ultimate bearing capacity of driven pile, they have different occasions for application, and the deduced results of them may differ greatly. In this paper, four typical types...
The weather factors with on-site EMC measurement may differ a lot from the standard calibration condition, so it is necessary to analyze the impact of weather factors, such as temperature, humidity and atmosphere pressure, on the measurement accuracy of the antennas. Based on experimental study, digital signal processing, improved vector fitting methods and artificial neural networks (ANN), a comprehensive...
This paper has effectively combined self-study advantage of adaptive neural network and fuzzy reasoning method of fuzzy math, resolved the problem that the fuzzy rule is difficult to be determined in the fault diagnosis for transformer insulation, confirmed the fuzzy rule and the fuzzy subject degree by using self-study function of adaptive neural network and established ANFIS model of transformer...
In this paper, the novel mechanical switch device: suspended-gate FET is applied to FPGA development. This device offers almost an ideal subthreshold swing and a hysteretic resistance switching, opening opportunities for low-power applications. The proposed device can be used as the building block of programmable elements and memory of an FPGA. Based on this device, the proposed FPGA architecture,...
On the base of researches on Max-Min Ant System (MMAS), a new algorithm named multiple nestspsila cooperation ACO based Union-Intersection operations (UI-MNCACO) is proposed to resolve the narrow Traveling Salesman Problem (TSP). In UI-MNCACO, we find out the edges contained in the shortest Hamiltonian circuit by the cooperation of elitist ants, the cooperation is completed by the union and intersection...
A robust inferential estimator model based on improved dynamic principal component analysis (DPCA) and multiple neural networks (MNN) was proposed. Data for building non-linear models was re-sampled using DPCA algorithm to form a number of sets of training and test data. For each data set, a neural network model was developed. To improve the robustness and accuracy of the neural networks, the MNN...
The current study presented a generalized regression neural network (GRNN) based approach to predict nitrogen oxides (NOx) emitted from coal-fired boiler. A novel 'multiple' smoothing parameters, which is different from the standard algorithm in which only single smoothing parameter was adopted (Matlab neural network toolbox, for example), were assigned to GRNN model. K-means clustering algorithm...
To assure justice and science of scientific and technological project evaluation, avoiding the corrupt transaction in the process of project evaluation, it is necessary to evaluation the experts' performance with a scientific method. The main factors that affect the experts' performance evaluation were analyzed. To avoid the effect of individual subjective judgment and favoritism on the result of...
Based on the analysis of PID algorithm and generalized predictive control algorithm (GPC), the performance index of generalized predictive control algorithm was restructured as PID form. The derivation of PID-type generalized predictive control algorithm (PIDGPC) was given. The influence of PID-type generalized predictive controller parameter tuning on system performance was analyzed in time domain...
This paper studies an adaptive fuzzy control problem for a class of uncertain nonlinear systems in the pure-feedback form. Compared with the existing approaches, the two main advantages are that the proposed algorithm can be implemented by utilizing only one fuzzy logic systems (FLS) approximator and the robustness of the closed-loop system is improved. The proposed adaptive fuzzy control algorithm...
One of the major problems in target recognition is that targets may be changed with translation, rotation, scale and intensity. A numerals recognition model based on PCNN (pulse-coupled neural networks) and FPF (fractional-power filter) is proposed in this paper, which use inherent ability of PCNN to extract feature and capability of FPF allowing invariance to be built into can recognize numerals...
The errors associated with a segmented primary reflector limit the electrical performance obtainable with those antennas which employ them. It is necessary to derive the effects of panel adjustment error on electtonical performance in order to determine realistic error budgets for such antennas. From the point of electromechanical coupling, an approximate expression for ETM (error transformation matrix)...
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.