Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper, we consider a decentralized wireless communication system with wireless energy transfer capability. We aim to minimize the total number of packets waiting at wireless nodes for the whole system. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP). To solve an optimization problem with constraints, we applied the Lagrangian...
This paper mainly describes a search module, based on the BP neural network model, in Beijing Vocational College of Electronic Science Student Work Management System. The module is for selecting the appropriate work based on the machine learning. This module creates the BP model for every user and adjusts the weight and threshold of the BP model while students use the search module to browse other...
In this paper, a weighted tuning method of a PI speed controller for induction motor is presented, based on Ziegler-Nichols (Z-N) tuning formula. The method improves the problem of parameter choice, reduces the over shoot and is simple as Z-N. The control system of induction motor drive is based on direct torque control. Results of simulation show the Weighted PI controller is actually better than...
As construction Industry is part of the complex non-linear system of the national economic development, the BP neural network of the artificial intelligence can to some extent deal with problems of the complex nonlinear system. Therefore, it has been widely applied to solving macroeconomic problems at present. The paper through systematically integrating econometrics with BP neural network establishes...
Wireless Industrial communication technology becomes increasingly important and has attracted widespread attention for industrial applications. WIA-PA (Wireless Networks for Industrial Automation-Process Automation) standard is one of the three international industrial wireless standards. Because of operating on shared ISM band, anti-interference is a key issue and WIA-PA standard adopts adaptive...
Predicting criminal recidivism effectively is of major interest in criminology. In this paper, we study the ability of the support vector machines (SVM) to predict the probability of reincarceration. As a semi parametric approach, the SVM minimizes structural risk whereas nonparametric models, such as neural networks, minimize empirical risk. Furthermore, the SVM differs significantly from existing...
An important factor affecting the rate of BCI is the number of EEG features. To reduce the number of features is an important way to improve the speed. In this paper, a method of data reduction be described, features marked be used to discrete the continuous EEG, and then choose the features from the discrete data with the help of this method. The results show that classification accuracy has not...
The Cognitive Radio (CR) technology enables the unlicensed users to share the spectrum with the licensed users on a non-interfering basis. Spectrum sensing is an important function for the unlicensed users to determine availability of a channel in the licensed user's spectrum. However, spectrum sensing consumes considerable energy which can be reduced by employing predictive methods for discovering...
This paper presented and discussed a new electrochemical analysis method FARSA (frequency and amplitude response spectroscopy analyzing), which can be applied to qualitatively and quantitatively analyze material's properties and concentration with certain methods of chemometrics, and introduced the system and functional structure of FARSA. Principal component analysis (PCA) was used to the identification...
In this paper, a new prediction model, based on chaos theory and BP artificial neural network, is developed to predict the risk of credit card transactions. Embedding dimension of phase-space reconstruction is used to determine network structure, and overcomes the dependence on large amount of samples. Experiments shows that the method based on combination of chaos theory and neural network can improve...
Tone is an essential component for word formation in all tone languages. It plays a very important role in the transmission of information in speech communication. In this paper, we look at using support vector machines (SVMs) for automatic tone recognition in continuously spoken Mandarin. Wavelet transform and Teager Energy Operation (TEO) are used to detect the voiced segments. Considerable improvement...
Taking account of the complexity of optimization of the deformable mirror support structure, this paper puts forward an intelligent optimized method for multivariable structure. On the basis of modal analysis which is implemented by the finite element software, a method combining orthogonal experiment, artificial neural network (ANN) and genetic algorithms (GA) is applied to optimization of the structural...
How to design the best support structure of the segment deformable mirror (DM) to ensure the high dynamic stiffness, which is very significant for the image system of the MOEMS (micro-opto-electro-mechanical systems). Based on the finite element analysis and neutral network, this article presents an optimization design method for the segment DM support structure. The modal analysis is implemented...
The mechanical characteristics of deformable mirror (DM) supporting structure have great influence on the imaging quality of optical system in adaptive optics (AO) system. This paper discusses optimum design for a kind of DM supporting structure. The original resonance frequency and modes shape of the supporting structure are obtained by the FEA method and the dynamic theory. Then a group of optimization...
Support Vector Regression (SVR) is a new general learning method, proposed in the statistical Learning Theory. In this paper, we construct a new nonparametric currency options pricing model with SVR approach. We integrate stochastic volatility models (SV) into SVR to upgrade the forecasting ability of the price of currency options. And we use the forward exchange rate as the input variable of SVR,...
This paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. The methods used are finite element analysis (FEA), orthogonal experiment and BP neural network, genetic algorithm (GA) optimal design.
This paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters of the deformable mirror supporting structure and its resonate frequency is built. With this relationship and Genetic Algorithm(GA)...
This paper presents a biologically inspired ldquointegrate-and-fire (I&F) neuronrdquo which has multiple input dendrites for adaptive weight storage. By using a capacitor-free integrator, longer time constant and smaller chip area can be achieved. A low-power Schmitt Trigger is used to implement the feedback loop to achieve smaller power consumption. Weights are stored by using floating gate MOS...
Data fusion techniques can combine data and related information to achieve more accurate and reliable data. However, data fusion is not considered in ZigBee protocol, which also limits the range of application of ZigBee protocol. This paper discusses data fusion algorithms in ZigBee application layer and radio frequency communication times are remarkably reduced with the help of data fusion algorithms...
Evaluating Web services provisioning is able to reduce redundancy in search and also generates advantages to service providers who deliver valuable services. However, there exist some service providers offer similar functions and current technologies are poor to discriminate the importance weights of attributes of Web services, due to the complexity of QoS metrics and involvement of consumerpsilas...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.