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 modeling of fetal macrosomia, some inconsistent data are mixed in samples. Because the procedure of childbearing has been finished, the sample data can not be validated by visiting previous pregnant woman. In order to eliminate the inaccurate samples, a counter propagation neural network is established. Some traditional methods are also used to verify the discarded samples. The new training set...
Auto anti-lock braking system (ABS) bench test is a safe, high-efficiency and low-cost method for ABS performance detection. The key parameters such as slip ratio, adhesion coefficient utilization rate and deceleration can be obtained quickly. In this paper, a classification model based on neural network for ABS bench test results was established. And the detailed BP network structure design process...
In the chemical and industrial field, the technology of detecting flammable or poisonous gases had always been important for product-safety control. Since the most of the work environment is complex and the gas always is complicated mixture, the precision of detection is rather low. IF the advanced pattern recognition and classification technology can be used in this field, we can effectively improve...
Using the adequate number of Multilayer Perceptron input, hidden and output layers, the Cellular Neural Network dynamic behavior, when the system converges to a fixed-point, can be reproduced by a Multilayer Perceptron with restrictions. A Multilayer Perceptron can then be defined in order to act as a two neuron Cellular Neural Network and vice-versa. From this, we combine their properties in order...
A BP network model for transformer fault diagnosis is established based on the MATLAB environment in this paper. A large number of data samples are collected and tested, L_M algorithm is used for training samples and simulation in network model. The actual output is gained and made comparative study with the expected output. Finally, it confirms that this network model has a high accuracy and can...
As a branch of artificial intelligence, Artificial neural network is an emerging discipline which has been developing rapidly in recent years. With the gradual deepening research, this theory has infiltrated into biology, electronics, mathematics, physics, construction engineering and other disciplines, and enjoys extensive application prospects. In this paper, working principles of artificial neural...
An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aero craft is a nonlinear and time-varying system and its controllers are usually designed by trajectory linearization method. Furthermore, the predictive controller is designed to adjust the current controlled variables by the trend of output to improve the quick responsiveness...
After a full study on the factors that affect the selection of CEO, this article has built a scientific criterion to select CEO by using the BP neural networks. Based on BP neural network, The CEO selection mechanism has solved the contradictory problems between the assumption and realities of logistic econometric model. It not only improves the quality of simulation results, but also helps companies...
A marine electromagnetic survey is an engineering endeavour to discover the location and dimension of a hydrocarbon layer under an ocean floor. In this kind of survey, an array of electric and magnetic receivers are located on the sea floor and record the scattered, refracted and reflected electromagnetic wave, which has been transmitted by an electric dipole antenna towed by a vessel. The data recorded...
In the tourism industry, the source plays critical role in its existence and development. According to the number of visitors, tourist receptions determine the scale of tourist reception facilities. Therefore, it is very important and necessary to predict the number of visitors. This paper presents a forecasting model of travel demand based on artificial neural network, and verifies the model by analyzing...
A new cotton-yarn-quality predicting system was developed by using the merging programming technique of VB and Matlab in the paper. Using this system, the tenacity and evenness CV% of the cotton-yarn processing by conventional spinning at standard temperature and humidity can be predicted through inputting some fiber properties into the system, such as the percentage of impurities, the principal length,...
Among the Artificial Intelligent technique, Neural Network is emerging technology that is advancing rapidly and having impact on many scientific and engineering applications. In this paper, NN apply on Asymmetric Cascaded Multilevel Inverter , in order to improve the controller easier to construct, simpler and better performance. To verify these goals, the system simulated based on Matlab Simulink...
In this paper, a wind speed forecasting method based on wavelet decomposition and BP neural network with Levenberg–Marquardt algorithm (LMBP) is proposed. Firstly, original wind speed seires is decomposed into one low-frequency component and several high-frequency components by wavelet decomposition method. Then different LMBP neural networks are built for the forecasting of every component respectively...
We create a spiking neural network of Integrate and Fire neurons with spike frequency adaption based on parameters adjusted for our e-nose device, and investigate the use of this model for odor classification. Addition of spike frequency adaptation term brings the model closer to the response of the olfactory system. Data from Cyranose 320, a polymer based 32-sensor array, is used to test the system...
By using neural networks, Beijing's water supplied and consumed is forecasted, and connection number and total partial connection number of the set pair analysis (SPA) are obtained. Principal factors and development trend are sequenced based on absolute relative error between sample value xi and predominant value yi so as to set up a mathematics model of forecasting Beijing's water supplied and consumed...
In this paper the application of Radial Basis Function Neural Networks (RBF-NN) as neural estimators of state variables of electrical drive with elastic joint is presented. RBF network are used for estimation of the load speed and shaft torque of the two-mass drive system, in the control structure with the state controller. One of the most important stages of neural estimators design is correct selection...
In this paper, we propose an architecture for FPGA-implementation of neural adaptive neural network RF power behavioral modeling. The real-valued time-delay neural network (RVTDNN) and the backpropagation (BP) learning algorithm were implemented on FPGA using Xilinx System Generator for DSP and the Virtex-6 FPGA ML605 Evaluation Kit. Performances obtained with 16-QAM modulated test signal and material...
Gene Expression Programming (GEP) and Radial Basis Function Network (RBFN) models are developed to estimate daily pan evaporation which is an important parameter in hydrological and meteorological studies. Meteorological parameters used to estimate daily pan evaporation from Lake Eğirdir at the southwestern part of Turkey are air temperature (Ta), water temperature (Tw), solar radiation (RC) and relative...
Several meta-heuristic algorithms have been proposed in the last years for solving a wide range of optimization problems. Cuckoo Search Algorithm (CS) is a novel meta-heuristic based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Levy flight behavior of some birds and fruit flies. This algorithm has been applied in a wide range of optimization problems; nonetheless,...
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.