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Data Envelopment Analysis (DEA) is suitable for effectiveness analysis of complex systems with multi-input and multi-output indicators. For the purpose of evaluating M&A performance and efficiency of listed coal companies, this paper utilizes DEA method to research 11 listed coal companies that has taken place M&A incidents in 2005, draws conclusions, analyzes the questions and eventually...
Since 1990s, learning organization is considered as a new trend and an ideal mode of the global organizational management in the knowledge economy era. As to the research of learning organization change with attributes of complex system, the theory of complex adaptive system provides a possible way on methodology. This paper reviews theory of complex adaptive system and learning organization, analyzes...
Clustering is a method of unsupervised learning, and a common technique for statistical data analysis used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics a novel algorithm based on clustering to extract rules from neural networks is proposed. After neural networks have been trained and pruned successfully, inner-rules are generated by...
One of the basic characteristics in human problem solving is the ability to conceptualize the world at different granularities and translate from one abstraction level to the others easily, i.e., the ability of multi-granular computing. The proposed quotient space theory is intended to provide a multi-granular computing model. The traditional single-granular computing methodology usually confronts...
Since the 90s of last century, along with the domestic education reform process, the Western Experiential Teaching theory was introduced into China. The most difference between experiential teaching and traditional “spoon-feeding” teaching is that the former puts its emphasis on “learning by doing”, it concerns about the students' dominant position during the teaching process, focuses on two-way exchange...
In recent years, the industry cluster in developing countries comes to the bottleneck which is "big but not strong" because of excessive reliance on cost competition and lack of innovation ability. Therefore, possessing industry cluster does not mean possessing the economic competitiveness, the formation of innovation network is the source of competitive advantage in the cluster. Gradually,...
This paper presents a hidden Markov model (HMM) based prognosis method for prediction of equipment health. HMM allows modeling the time duration of the hidden states and therefore is capable of prognosis. The estimated state duration probability distributions can be used to predict the remaining useful life of the systems. The previous HMM based prognosis algorithm assumed that the transition probabilities...
Since China joined the WTO, the Chinese telecom market has been transformed from a seller's to a buyer's market due to the new competition pattern and booming telecom technology. Therefore, the telecom industry must transform their production centered operations to custom service centered operations. During this process, it is very important to develop new business models and lower operational costs...
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework using an over-complete exponential basis set and sparse Bayesian learning. The technique is applicable to analyses requiring either a plasma or reference tissue input function and produces estimates of the system's macro-parameters...
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