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The purpose of this research is to examine a multilevel approach to property hedonic models. Because individual properties are nested within neighborhoods within a city, a multilevel method is used to develop hedonic models. The author analyses several statistical and substantive reasons for explicitly modeling individual properties as belonging to neighborhoods. The reasons include spatial dependencies,...
This is an empirical paper that measures and interprets changes in intercity relations at the global scale in the period 2000-2008. We draw on the network model devised by the Globalization and World Cities (GaWC) research group to measure global connectivities for 132 cities across the world in 2000 and 2008. A range of statistical techniques is used to explore changing connectivities at the city...
This paper proposes a wave filtering based electric load curve decomposition method for automatic generation control (AGC). A two-step scheme is used for the load curve decomposition to get three different components which are characterized by different frequencies. Butterworth low-pass filtering algorithm (BLFA) is used in both steps. In this filter algorithm, the framework of infinite impulse response...
Forecasting of Telecom Traffic influence directly the future development of telecommunications enterprises. According to the complexity and non-linearity of Telecom Traffic , in this paper, the hybrid of wavelet transform (WT), chaos and SVM model was established. First the chaotic feature of Telecom Traffic is verified with chaos theory. It can be seen that Telecom Traffic possessed chaotic features,...
This paper is combined the characteristics of decision problems, comprehensively analyzed the key technology of the decision-making evaluation : data analysis methods, strategy generation methods and evaluation methods, introduced extension theory to study the expressing of ontology information ,detailed knowledge representation of the three types of knowledge, presented approach of the data transformed...
Based on the extension theory and characteristics of problem domain, this paper studies concept of matter-element theory, detailed analyses on reasoning decision-making process, establishes the matter-element models and the structure of knowledge base, proposes synthesized evaluation method and realization model for the circular economic decision-making support system.
This paper combines with the characteristic of knowledge-based engineering decision problem for circular economy, analyses knowledge representation, rule representation, reasoning mechanism and knowledge base structure of multi-objective attribute decision problems. It proposes a software architecture of knowledge-based engineering decision support system, which lays the foundation for the realization...
Stock yield forecast has been an important issue and difficult task for both shareholders and financial professionals. In this paper, we introduce least square support vector machine (LS-SVM), an improved algorithm that regresses faster than standard SVM, and the parameters of model proposed are gained in the three levels of Bayesian inference. The work of this paper is as following: First, forecast...
Stock index forecast is not an easy job as it is subject to influence of various factors. Since 1980s, many researchers have used Back Propagation Neural Network BPNN to forecast stock price fluctuations. However, there are some limitations with BPNN. With slow convergent speed and low learning efficiency, BP learning algorithm is easy to get in local minimum and is far from being perfect in stock...
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