To meet the personalized needs of customers in e-supermarket, an adaptive recommendation algorithm based on support vector machine was proposed in the paper. First, the commodities that user needed were classified as several categories through support vector machine, which ensured the recall of commodity recommendation. Then vector space model was used for content-based recommendation, specific commodities in several categories were obtained to ensure the precision. The algorithm had two advantages; the first was that it dealt with complex high dimensional data better, which obtained parameters directly form adaptive learning classifier. The second was that it had a better capability of classification. The algorithm was also used in personalized recommendation service system based on e-supermarket. The system could support e-commence better. The results manifested that the algorithm was effective
Heat treatment is the importance of key to pressure casts a mold the life.This article take the H13 compression casting mold as an example,from annealing 、quenching briefly introduced the tempering to the nitridingthe enhancement pressure casts a mold the life heat treatment craft.And a detailed analysis of each heat treatment process and the aim should be to achieve the temperature indicators.
Based on the theory of linear piezoelectricity, this study presents an exact solution for a two dimensional indentation on a piezoelectric ceramic half-plane with different contact conditions. The flat-ended indenters are assumed to be rigid. Besides, they can either be insulating or conducting. In addition, different contact conditions, including frictionless, frictional, and adhesive punches are investigated. Lekhnitskii's formulism and Fourier transforms are used to obtain the Green's function of a piezoelectric ceramic half-plane subjected to a point loading. Utilizing Green's half-plane function, we obtain the three integral equations by connecting generalized displacement gradients at the surface and surface loading. Both uncoupled and coupled integral equations can be transformed into a Fredholm integral equation. The analytical closed form solutions of the contact forces and the electric charges under the indenter can be derived by solving the Fredholm integral equations. Once the distributions of the contact forces and the electric charges on the surface are known, the electroelastic response in the half-plane can also be obtained.
A personalized intelligent question answering algorithm is put up, which takes learners' personality into account based on learners' information. By introducing principal component analysis, the algorithm got comprehensive variables, and constructed the learner model. Subsequently, the paper analyzed how to integrate the learner's characteristic and his question using harmony theory to dynamically produce a question model. Using the question model, this algorithm obtained the parameters of answer depth and presentation pattern adapted to the learner's personality. Finally, according to parameters, personalized answer was matched for the learner by the application of adaptive neuron-fuzzy inference system (ANFIS). For that reason, the personalized intelligent question answering algorithm is able to make learners understand the answer better, and guarantee the efficiency of intelligent question answering.
axis gyro stabilization is widely applied to the mobile operational platforms to stabilize collimator, artillery, radar and antenna, etc. The angular velocity compensations of carrier attitude measurement are different if the installation modes of gyros are different. Based on the principle of the stabilized theory and gyro attitude measurement theory, a mathematic model was established. According to a mathematic expression, three installation modes were summarized. In the end, an application example was introduced.
This paper designs a personalized navigation service based on the student cognitive levels. The personalized navigation service takes the interpretive structural modeling to generate concept navigation matrix by using the student cognitive background matrix (retrieved from tests and questionnaire) and the concept relation matrix (retrieved from textbooks). According to the knowledge structure and the concept navigation matrix, the service can provide different students their own knowledge navigation maps.
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