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The special distribution, sampling strategy and responding mechanism of human photoreceptor cells are significant for visual system. Photoreceptor cells layer is the connection between the preceding and the following in visual system, in one hand, it could sample and represent the outside information, in other hand, it could process the data in its specific way and transfer processed data to following...
Classification is a famous branch of machine learning. We have tried many ways to invent and improve algorithms to get better results from given data. However, few have been done on how to revise data to adapt machine learning. In this paper, the same classifiers are implemented on same object sets which are different in the granularity of classification to show different classification can make great...
Aiming at the low level of automation of case retrieval in case- based design the retrieval model design used in case- based fixture design was studied in detail. On the analysis of the functional surfaces of work piece, the design requirement is extracted whereby the functional mode of work piece is presented, and the prototype of fixture assembling based on the theory of General-location is constructed...
Firstly, we give the definition of an L-bifuzzy Scott closed subset and prove its related properties, then, we give the definition of an L-bifuzzy Scott co-topological space, study its properties and equivalently characterize it which is a generalization of the Scott co-topological space in the classical topology theory. Finally, we establish the relationships of L-bifuzzy domain, L-bifuzzy lower...
This paper considers a swarm model with a general attraction-repulsion function involving variable communication time lags and an attractant/repellent. It is proved that for Gaussian attractant/repellent profiles the individuals of the swarm with time delays will aggregate and form a cohesive cluster of finite size in a finite time. Moreover, all the swarm individuals will converge to more favorable...
Density-based spatial clustering algorithms can be used to filter out noise and outliers, and discover clusters of arbitrary shape, which are all relatively good algorithms. But when the problem of variable density distribution of spatial objects was taken in to consideration, the accuracy of clustering result can be largely affected by the distribution of spatial objects. Therefore, the strategy...
In semantic Web, ontology mapping is the basis of the interoperation of heterogeneous ontologies. Ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. The current ontology mapping methods merely use massive Web pages in the Internet and they are unpractical to subsequent interoperation and integration of heterogeneous...
In order to maintain or gain competitive advantage and manage knowledge of the enterprise, a new strategy of knowledge management in network organization is presented.It helps to build strong relations with employees, customers,and suppliers and partners.
In this paper we present a model of the formation and evolution of innovation network in an oligopolistic industry. A series of theoretical analysis of knowledge characteristics and simulation analysis of the weighted efficient have been studied. The results indicate that there exists the optimal relative knowledge distance and the codified extent of knowledge for collaboration. Moreover the weighted...
The rapid development of data technology, as exemplified by data mining and Internet growth, creates a large information overload and forthcoming knowledge overload. Data mining discovers a large mount of knowledge, but not all of the knowledge is useful. Meanwhile the useful knowledge will also become un-useful as time goes by. How to manage this kind of knowledge is an urgent problem for data mining...
The evaluation of tourism crisis would have significant meanings to encounter crisis and recover from it, also can be served as decision reference to relevant managers and officials. Currently researchers usually make the evaluation of tourism crisis on the aid of complex indexes system, surplus researcherspsila subjective judgment. On considering the characteristics of tourism crisis, many variables...
A new association rule algorithm is discussed. It is based on the weighted association rule algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with lower support and high confidence, and these association...
This thesis takes three approaches in strategic sense respectively: Call, put and hold. First of all, it collects daily information and relevant factors which could influence the stock price one day ahead of the actual trading for China Steel stocks. These factors include aspects in the stockpsilas fundamental, share volume, technical performance in addition to Dow Jones average plus processing these...
The kaburobo is a kind of stock robot developed by Waseda University written in JAVA. People can finish virtual stock exchanges (VIREAL) on a imagine platform. Players can also make a program to carry on the algorithm simulation and be realized it through the software interface. This paper introduced kaburobopsilas work principle in detail. Based on the research result and through this stock trade...
In this paper, a novel fuzzy particle swarm optimization (NFPSO), in which inertia weight as well as the learning coefficient can be adaptively adjusted according to the control information translated from the fuzzy logic controller (FLC) during the search process, is presented by introducing a two-input and two-output FLC into the canonical particle swarm optimization (CPSO). The effectiveness of...
Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially,...
Intrusion detection is one of network security area of technology main research directions. Data mining technology was applied to network intrusion detection system (NIDS), may automatically discover the new pattern from the massive network data, to reduce the workload of the manual compilation intrusion behavior patterns and normal behavior patterns. This article reviewed the current intrusion detection...
Most researches focus on two costs for building cost-sensitive decision trees, such as, misclassification costs, test costs. And the existing literatures always consider the two costs as the same scales, for instance, dollars. However, in real application, it is difficult for us to regard two costs as same scales, for instance, considering misclassification cost as a dollar unit. In this paper, a...
Aiming at the shortcomings of the BP neural network, this paper presents a method for grain condition information fusion based on BP neural networks and D-S evidential theory. This method firstly employs many BP neural network outputs as the inputs of D-S evidence theory. After that, D-S evidence theory is used to fuse with results from all the neural networks, resulting in the grain quality evaluation...
Currently those algorithms to mine the alarm association rules are limited to the minimal support, so that they can only obtain the association rules among the frequently occurring alarms. This paper proposes a new mining algorithm based on spectral graph theory. The algorithms firstly sets up alarm association model with time series; Secondly, it regards alarms database as a high-dimensional structure...
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