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.
The generalization ability of neural network is an important aspect affecting its application. Meanwhile, the selection of training samples has a great impact on this ability. In order to improve the completeness of training samples, a method of samples self-learning of BP neural network based on clustering is put forward in this paper. By using the method of clustering, new samples can be collected...
In the text preprocessing of text mining, a stop-word list is constructed to filter the segment results of the text documents so that the dimensionality of the text feature space can be cut down primarily. This paper summarized the definition, extraction principles and method of stop-word, and constructed a customizing Chinese-English stop-word list with the classical stop-word list based on the difference...
A daily gas load forecasting method based on Support Vector Machine theory is developed in this paper. Some aspects of data preprocessing are discussed, such as normalization method, data grouping method and the period of history data using as input vector. Proper normalization method, which is to map gas load data from the small and narrow range to the big and wide, will improve the forecasting accuracy...
Two-dimensional piping layout is widely used in chemical, petroleum, power, environmental protection, municipal works and other engineering constructions. Due to the lack of visualized expression and ambiguity, two dimensional piping layout is not beneficial to carrying out rapid analysis and correct comprehension. It is of great significance to make it automatically recognized and converted into...
PKI is a new security technology, its role is to provide information security services, can use it to ensure that the network information security. This article describes the theoretical basis of PKI and related technologies and concepts, analysis and comparison of PKI-based trust model: hierarchical trust model, peer trust model, network trust model, hybrid trust model. Analyzes the current PKI trust...
Genetic algorithm (GA) is applied to select main affecting factors of coal and gas outburst to solve the over-fitting problem of BP neural network (NN) in predicting coal and gas outburst, and a modified BP NN predictor is established, which input variables are the factors selected. In our GA, chromosome is a binary encoding which each gene corresponds to a variable, penalty function is introduced...
Using a new and elegant reduction approach we derive a lower bound of quantum complexity for the approximation of imbeddings from anisotropic Sobolev classes B(Wpr([0,1]d )) to anisotropic Sobolev space (Wps([0,1]d ) for all 1 ≥ p, q ≤ ∞ . When p≥q we show this bound is optimal by deriving the matching upper bound. In this case the quantum algorithms are not significantly better than the classical...
Training of parameters in RBF neural network, this article proposes an optimization of RBF neural network parameters algorithm, which can overcome the disadvantages of select of data center and weights in RBF neural network. The algorithm process input data normalization and compute network output and hidden layer output angle cosine firstly, a set of data being established as the network center when...
Since the 21st century, artificial intelligence has deeply impacted the development process of every subject, such as Cybernetics, Information Theory, System Theory, Computer Science, physiology, etc., nearly involving any field and category in the human world in the theory and practice study. With the development of artificial intelligence, the internet has become a relatively new field. Today, with...
The navigation-aid information is the basic and one of the most important information for the marine traffic safety. The reasonability of the placement of aids to navigation will directly influence the marine traffic safety, and also have a close relation with the efficiency of the maintenance of the aids. Because of the development of ports and fairways, the increasing demands of the seafarers on...
In this paper we prove the convergence of stochastic age-structured population system. A linearized version of the implicit Crank-Nicolson is considered for the approximation of the solution to the stochastic age-structured population system. The noise is a real standard Wiener process and approximated by using the generalized L2-projection operator. Optimal strong convergence error estimates in the...
Due to different levels and characteristic deformation existing in any images, it is difficult to select an appropriate model to correct effectively. Considering BP neural network is a high and nonlinear complicated system which can approach at any precision, we attempt to use it for image geometric correction. In this paper, errors correction of scanning map by BP neural network as an example was...
Based on the study of data integration in the unified information platform of heterogeneous e-government system and the investigation of the design of e-government, the technology of topic maps and the relational database, a new data integrated model was issued. According to the analyze of relational database, this model realizes the data integration of the heterogeneous e-government system which...
In different conditions such as light and complex backgrounds, we get some car images, the traditional methods are slow convergence speed and low accuracy. This paper presents a method which applies fuzzy theory to enhance several features of for target. To obtain the license information, we use an improved BP neural network algorithm, by through setting proper numbers of hidden layer of BP network,...
Effective complex permittivity measurements of materials are important in microwave engineering and microwave chemistry. Artificial neural network (ANN) computational module has been used in microwave technology and becomes a useful tool recently. A neural network can be trained to learn the behavior of an effective complex permittivity of material under microwave irradiation in a test system and...
As the development of Internet, the current network protocol IPv4 has revealed many defects in areas such as in the address space, Internet security, QoS, and configuration is not simple enough which led to the emergence and growth of IPv6, it is an inevitable trend for the development of Internet that IPv6 will replace IPv4 protocol. The construction and development of IPv6 network provides platforms...
This paper addresses the simultaneous quay crane and truck scheduling problem (QC&TSP) at a container terminal. This paper considers one quay crane and several trucks to unload containers from the vessel, and every truck needs some time to come back to the quay crane after transports one container to the yard, then it can transport another container continually. In this paper, every container...
The soccer robot assembly system belongs to the intelligence robot assembly system, this article take the YSU soccer robot assembly system as a platform, proposed unifies the auto-adapted threshold value method based on HIS and RGB, improved in the original system in the multi-objective search process image to gather slow and the robust bad situation.
The conventional routes of optimizing boiler operational parameters were mainly according to boiler design value and historically optimum value, but these methods had certain limitation in the real-time renewal and excavating optimization potential. This paper takes the circulating fluidized bed boiler (CFB) as the research object, by using the Absolute Mean Impact Value (AMIV) to optimize the structure...
This paper proposes the unit commitment problems which can be solved by the improved Genetic Algorithm (GA). In this improved GA, the variables of the unit commitment problems are charged into the Genetic operators by binary coding. The best individual reserve is to be proposed and can be used in the genetic operating. This paper utilizes C++ language compilation to compare the two different 6-unit...
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.