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The thesis, in order to solve the fault diagnosis problem of oil Parameter, adaptive neural network-based fuzzy inference system (ANFIS) was applied to build a fault diagnosis model of automobile engine, with the construction of ANFIS, by using gradient descent genetic algorithm and optimization of system parameters of neutral network learning algorithm, inputs the fusion data into ANFIS, and introduces...
Students are the object of higher education services from marketing perspective. This paper investigates the satisfaction of higher education service from students by questionnaires based SERVQUAL model, analyzes the current quality of higher education service, and gives the suggestions of improving quality of higher education service.
The research carried out research-based learning practice in the teaching of public course of Modern Educational Technology designing and carrying out research-based learning teaching activities. The research analyzed the effect of research-based learning on training of normal student's information literacy trough the comparing of effects of survey and case study.
Evaluating road safety is essential in identifying the potential road safety hazard which could result in casualties and property losses. in this paper, a BP neural network was built by using neural network toolkit in "Matlab", Two similar roadways are used in calibrating and validating the network. The high level of predictability provided that the application of BP neural network model...
This article has illustrated the basic concept and related concepts of popular science, analyzed popular science research survey, carried on the classification and the summary of the popular science research results both at home and abroad, and pointed out the deficiencies about popular science research at the present stage.
To prevent file transmission in the electronic military affair system from being damaged. Methods: security mechanisms of Web service based on J2EE platform, system security based on RSA algorithm, and the basic principle of digital signature. Procedure: to explain definition, characteristics and structure of the electronic military affair system, and to analyze its design process and security. Conclusion:...
Support vector machine (SVM) is discussed to use for recognizing cucumber leaf diseases in this paper. Considering that it is a small number of samples, a new experimental program has been proposed which takes each spot of leaves as a sample instead of taking each leaf as a sample. In the experiments Radial Basis Function (RBF), polynomial and Sigmoid kernel function were also used to carry out comparative...
In order to arrange the generators between hydrogenerators and themeturbine, the water data need to be sent to dispatch staffs timely. The daily submitted water data are intensive. And the dispatch staffs are pressured. Because the above objective conditions might lead to human error problems during the water submit processing, an artificial intelligence method of hydrological data validation and...
Audio classification is an important preprocess to the audio data. However, lots of manual labeled data are needed for training models. In order to solve this problem, we evaluate a semi-supervised machine learning algorithm called co-training for content-based audio classification. The audio is divided into there classes: pure speech, pure music and speech mixed with music. We consider the audio...
A modified MIMO channel estimation method based on superimposed training sequence was proposed for the frequency selective channel. By exploiting the uncorrelation between the training and information sequences, accurate primary channel parameters could be obtained without loss of bandwidth, and using weight factor averaged neighboring channel parameters. This mew method was presented to track the...
Eddy current testing (ECT) is becoming a widely used inspection technique, particularly in the aircraft, power and nuclear industries. Many factors may affect the eddy current response. Inverse problems to determine the thickness from ECT signals of multilayer conductors have been a challenge for a certain degree. The objectives of this study are to introduce a method based on improved back propagation...
Based on radial basis function (RBF) kernel, a new self-adaptive method to optimize the least squares support vector machines (LS-SVM) parameters, the width of kernel parameter sigma and the LS-SVM regularization parameter gamma are proposed. Detailed methodology steps of this algorithm method are presented. Compared with back propagation neural networks (BPNN), various simulation experiments for...
To adopt the methodology of literature analysis, questionnaire and mathematical statistics, this paper aims to investigate and analyze the College Physical education on the use of multimedia in teaching and analysis. The main conclusion is that: the overall level of the uses of the modern teaching tools in PE class is low. At this time, we should be aware of the importance of it in physical education...
Through some procedures, such as the questionnaire survey, documents collecting and scientific analysis, the present utilization of multimedia - CAI in university PE teaching is investigated and studied in this paper. The paper launches the elaboration in the perspectives of gym instructorspsila understanding, utilization and making of multimedia; and it explores education patterns adapted to the...
Using the concepts of typical gas's concentration and cumulative frequency in analysis of the reliability data for dealing with the pretreatment of data of DGA, two new normalized methods which named characteristic normalization and mix normalization are presented in this paper. The Fisher rule to evaluate the results of the two pretreatment methods is also introduced. The evaluation of the results...
Many practical problems are characterized as decision making with multiple, conflicting and noncommensurable nonlinear objectives and complex criteria. Especially in the practice of purchasing decision making, many quantitative and qualitative factors must be considered, as well as the vagueness and imprecision among them, which makes the decision process more complicated and unstructured. For identifying...
In the multi-attribute decision making theory (MADM), fuzzy multi-attribute decision making theory is an important aspect. And in practical problem, some index can't be expressed by certain number, just only expressed by linguistic words, under this situation, we must use fuzzy decision making method. This paper uses fuzzy LMS neural network to determinate weight, this method has the advantage of...
This paper aims at the BP neural network model, to against the problems of the weakness of capability of knowledge acquisition and low stability of learning and memory. The paper put forward a new fast error back propagation algorithm, and give an example to make a comparison between BP algorithm and FBP algorithm on fault diagnosis, The diagnosis results indicate the reliability of this method.
A fault diagnosis method for analog circuits based on Support Vector Machine (SVM) and AdaBoost algorithm is developed in this paper. Firstly, output voltage signals from the test nodes are obtained from analog circuits test points and the fault feature vectors are extracted from Haar wavelet packet transform coefficients. Then, after training the AdaBoost SVM by faulty feature vectors, the SVM ensemble...
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