In this paper a method of combining fuzzy decision tree with Optimal Fuzzy-Valued Feature Subset Selection (OFFSS) is proposed. This algorithm can first select a feature subset from the entire feature space, and then ...
详细信息
ISBN:
(纸本)0780384032
In this paper a method of combining fuzzy decision tree with Optimal Fuzzy-Valued Feature Subset Selection (OFFSS) is proposed. This algorithm can first select a feature subset from the entire feature space, and then constructs the fuzzy decision tree on the selected feature subset This paper conducts some experiments to compare the proposed algorithm with Fuzzy-ID3. The experiment results show that fuzzy decision trees on feature subset are superior to that on entire feature space in terms of speed and accuracy for classification.
We derive explicit formulas for pricing double (single) barrier and touch options with time-dependent rebates assuming that the asset price follows a double-exponential jump diffusion process. We also consider incorpo...
详细信息
We derive explicit formulas for pricing double (single) barrier and touch options with time-dependent rebates assuming that the asset price follows a double-exponential jump diffusion process. We also consider incorporating time-dependent volatility. Assuming risk-neutrality, the value of a barrier option satisfies the generalized Black-Scholes equation with the appropriate boundary conditions. We take the Laplace transform of this equation in time and solve it explicitly. Option price and risk parameters are computed via the numerical inversion of the corresponding solution. Numerical examples reveal that the pricing formulas are easy to implement and they result in accurate prices and risk parameters. Proposed formulas allow fast computing of smile-consistent prices of barrier and touch options.
We survey recent progress in the math.matical modelling and simulation of essential molecular dynamics. Particular emphasis is put on computational drug design wherein time-scales of milliseconds up to minutes play th...
详细信息
ISBN:
(纸本)0898715598
We survey recent progress in the math.matical modelling and simulation of essential molecular dynamics. Particular emphasis is put on computational drug design wherein time-scales of milliseconds up to minutes play the dominant role. Classical long-term molecular dynamics computations, however, would run into illconditioned initial-value problems already after time-spans of only psec = 10-12 sec. Therefore, in order to obtain results for times of pharmaceutical interest, a combined deterministic-stochastic model is needed. The concept advocated in this paper is the direct identification of metastable conformations together with their life times and their transition patterns. It can be interpreted as a transfer-operator approach corresponding to some underlying hybrid Monte Carlo process, wherein short-term trajectories enter. The spatial discretization of this operator is a hard problem of its own. In order to avoid the 'curse of dimension', the construction of appropriate spatial boxes requires careful consideration. Once this operator has been discretised a stochastic matrix arises. This matrix is then treated by Perron cluster analysis, a recently developed cluster analysis method involving the numerical solution of an eigenproblem for a cluster of eigenvalues called the Perron cluster. As a biomolecular example we present a rather recent SARS protease inhibitor.
In the process of switching arc image acquisition, because of the strong radiation of arc, the weak reflection of contacts and the shake of apparatus due to the impact of mechanical motion, the arc image was polluted ...
详细信息
ISBN:
(纸本)0780384032
In the process of switching arc image acquisition, because of the strong radiation of arc, the weak reflection of contacts and the shake of apparatus due to the impact of mechanical motion, the arc image was polluted by noise. The weak feature of the contacts and chamber can't be observed clearly. In order to enhance the weak feature, a method based on gray level transformation and pattern matching was introduced. Contact pattern was extracted from image without arc by using Canny operator. Contacts region was located by pattern matching. The weak contact region was enhanced by using gray level transform method. Experiment result shows that the processed image with a good vision effect was obtained.
Research on switching arc motion for the improvement of low voltage apparatus is important. But arcing time is very short in the operation of switchgear under the real situation. In order to observe and analyze the wh...
详细信息
ISBN:
(纸本)0780384032
Research on switching arc motion for the improvement of low voltage apparatus is important. But arcing time is very short in the operation of switchgear under the real situation. In order to observe and analyze the whole process of arcing, a kind of visual simulation method based on arc image is presented. The feature points of arc column are extracted from arc image. Arc column visual model is constructed based on magnetic pinch effect, no-uniform rational B-spline technique and the arc feature points. Simulation results show that the proposed approach is an effective visual method for switching arc of low voltage apparatus.
The paper aims at contributing to the problem of designing ontologies for spatio-temporal knowledge representation. We consider a linguistically oriented, situation-based methodology and we situate it with respect to ...
详细信息
ISBN:
(纸本)1577352017
The paper aims at contributing to the problem of designing ontologies for spatio-temporal knowledge representation. We consider a linguistically oriented, situation-based methodology and we situate it with respect to the WordNet approach. We focus on the problem of how to design a system of ontological concepts related to various kinds of motion. We develop the concept of situation based synsets.
Decision trees and extension matrixes are two methodologies for (fuzzy) rule generation. This paper gives an initial study on the comparison between the two methodologies. Their computational complexity and the qualit...
详细信息
ISBN:
(纸本)0780384032
Decision trees and extension matrixes are two methodologies for (fuzzy) rule generation. This paper gives an initial study on the comparison between the two methodologies. Their computational complexity and the quality of rule generation are analyzed. The experimental results show that the number of generated rules of the heuristic algorithm based on extension matrix is fewer than the decision tree algorithm. Moreover, regarding the testing accuracy (i.e., the generalization capability for unknown cases), experiments also show that the extension matrix method is better than the other.
Fuzzy Extension Matrix induction is an extraction technique of fuzzy rules, which can be used in handling ambiguous classification problems related to human's thought and sense. The entire process of building heur...
详细信息
ISBN:
(纸本)0780384032
Fuzzy Extension Matrix induction is an extraction technique of fuzzy rules, which can be used in handling ambiguous classification problems related to human's thought and sense. The entire process of building heuristic algorithm based on Fuzzy Extension Matrix is dependent of three specified parameters that seriously affect the computational effort and the rule extraction accuracy. Since the value of three parameters is usually given in terms of human experience or real requirements, it is very difficult to determine its optimal value. This paper makes an initial attempt to give some guidelines of how to automatically choose these parameters by analyzing the relationship between the values of parameters and the number of rules generated.
The embryologists found the realistic human organ models and animations of development necessary for their studies. The main idea of this paper is a methodology producing a realistic animation of development by combin...
详细信息
The embryologists found the realistic human organ models and animations of development necessary for their studies. The main idea of this paper is a methodology producing a realistic animation of development by combining the L-system growth model with a physical model. The skeleton of a digestive system is a line skeleton with a tree structure. Therefore, its growth in length can be simulated by an algebraic L-system which controls the growth of skeleton segments. The global deformations of the skeleton due to the gravity and the lack of space in abdominal cavity are simulated by a dynamics of skeleton segments. The movements that have no physical reasons such as looping are implemented by external forces applied on links controlling the organ movement in space. The convolution surfac.s generated by skeletons define the final shape for growth animation. The entire system consists of two steps: First, the actual number of skeleton segments and the length of each skeleton segment is calculated from growth functions, second, the skeleton deformation in space is updated based on dynamics.
In this paper, a modification of RC6 block cipher (MRC6) is introduced. MRC6 is a symmetric encryption algorithm designed to meet the requirements of the Advanced Encryption Standard (AES). It is an enhanced extension...
详细信息
暂无评论