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In this paper, the Elastic Net method is applied to longitudinal data model which appears in network marketing. It not only makes us better understand the impact of big data on a variety of marketing activities, but also allows companies to better play its effectiveness. The Elastic Net estimation of longitudinal data model is established and proved that this model has the nature of group effect....
Reliability is becoming a more and more important concern for software architectures. Previous efforts mainly use the reliability model to predict the software reliability at architecture level, but most of these work do not give the formal description of software architecture. Meanwhile, many approaches have been proposed to specify software architecture, unfortunately, few of them pay attention...
As sensors are energy constrained devices, one challenge in wireless sensor networks (WSNs) is to guarantee coverage and meanwhile maximize network lifetime. In this paper, we leverage prediction to solve this challenging problem, by exploiting temporal-spatial correlations among sensory data. The basic idea lies in that a sensor node can be turned off safely when its sensory information can be inferred...
In this paper, we propose a novel trust management scheme for improving routing reliability in wireless ad hoc networks. It is grounded on two classic autoregression models, namely Autoregressive (AR) model and Autoregressive with exogenous inputs (ARX) model. According to this scheme, a node periodically measures the packet forwarding ratio of its every neighbor as the trust observation about that...
The drilling of hard-to-cut high manganese steel materials is a difficulty in the field of machining. Research method for drilling temperature which has been commonly used is experimental method. The method has long-time and the high-cost drawbacks. Adopting error back neural network technology and using Matlab and C language programming method, in this paper neural network prediction model of drilling...
As a difficult processing material, the drilling of the high manganese steel has been a difficulty among the mechanical processing industry, because its plastic deformation is great and produces the serious hardening phenomenon in the course of processing. During the process of drilling the high manganese steel, great cutting force will be produced, so the great power of the lathe can be consumed...
In this paper, the author make the grey forecast united with the fuzzy synthetic assessment to determine the regional classification problems for regulating and planning groundwater. In this case, the following models are adopted to forecast the water quality system: GM(1, 1) model groups, GM(1, 1) residual difference model, GM(1, N), GM(1, 1) Weighted model.
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