This article presents pulse monitoring and analysis approaches on Traditional Chinese Pulse Diagnosis (TCPD) by means of modern nonlinear signal processing technology. Pulse monitoring is significant for the research ...
详细信息
ISBN:
(纸本)0780375084
This article presents pulse monitoring and analysis approaches on Traditional Chinese Pulse Diagnosis (TCPD) by means of modern nonlinear signal processing technology. Pulse monitoring is significant for the research on cardiovascular and nervous system. But some interference, such as respiration, motion artifacts can be greatly brought into the long-term pulse acquisition. Thus, a cascaded adaptive wavelet filter is designed to solve this issue. Then analysis of long-term pulse waveform in TCPD is illustrated after being preprocessed. What's more, the chaos character of healthy Heart Rate Variability (HRV) is validated.
Fuzzy Decision Tree (FDT) induction is an extraction technique of fuzzy rules, which has been widely used in handling ambiguous classification problems related to human's thought and sense. The entire process of b...
详细信息
ISBN:
(纸本)0780375084
Fuzzy Decision Tree (FDT) induction is an extraction technique of fuzzy rules, which has been widely used in handling ambiguous classification problems related to human's thought and sense. The entire process of building FDT is based on a specified parameter (called significant level) which seriously affects the computation of fuzzy entropy and classification result of FDT. Since the value of this parameter is usually given in terms of human experience while building a FDT, it is very difficult to determine its optimal value. This paper makes an attempt to give some guidelines for how to automatically choose the optimal value of this parameter by analyzing analytic expression between this parameter and fuzzy entropy and further by investigating the decision tree's sensitivity to the parameter perturbation.
An effective Projection-reduction Algorithm for mining long patterns frequent is presented. A new ideal of top-down mining frequent items is adopted, and some of new conceptions such as transaction and items associati...
详细信息
ISBN:
(纸本)0780375084
An effective Projection-reduction Algorithm for mining long patterns frequent is presented. A new ideal of top-down mining frequent items is adopted, and some of new conceptions such as transaction and items association information tables, key-items and reduction items, projection DB. etc. are proposed, The algorithm presented is very effective for mining long frequents, the validity of proposed algorithms is proved through analysis computing complexity, Some examples of computation are given also. The computing complexity of the algorithm has relation to the average length of items reduction, the complexity approximates to 0.5 × M3N × O(2S × N'2) in worst of case, here, S is the average length of items reduction under min-support given by user, N' is the number of tuples in the database, N is numbers of the transaction in databases, M is the average length of item sets in databases. On the side, using heuristic information for pruning useless candidate frequent itemsets, the efficiency of algorithm is improved notably. It is very effective for mining long frequent, since S is very short for long pattern frequent, the computing complexity approach to polynomial time.
Dynamic visibility algorithm based on major occluder for complicated scene with high density is presented. By creating an occluding tree through primary shading objects predefined in the scene, our algorithm can elimi...
详细信息
ISBN:
(纸本)0780375084
Dynamic visibility algorithm based on major occluder for complicated scene with high density is presented. By creating an occluding tree through primary shading objects predefined in the scene, our algorithm can eliminate all objects in the shading area of the shading tree. The algorithm performs high efficiency when the scene is organized according to BSP tree and rendered from front to back. We apply simplified shading proxy to primary shading objects, and present an efficient simplified algorithm for shading objects with box type. Our algorithm has been applied to RTG 3D graphics Toolkits. The ability of obviously increasing rendering speed for complicated sense has been verified by many practical instances in our work.
It has been several years since the research of vectoring topographical map, and there are quite a few progresses in it. But, most of the researches focus on the identification of contour lines;ignoring another import...
详细信息
ISBN:
(纸本)0780375084
It has been several years since the research of vectoring topographical map, and there are quite a few progresses in it. But, most of the researches focus on the identification of contour lines;ignoring another important element of map, spot elevation. As a kind of element of map, spot elevation is rather than a single point. It should be of significance to the comprehension of map, combining with the contour lines. According to analyzing the features of annotation of contour and of elevation point, the paper gives a method of identifying elevation annotation of a scanned topographical map and discusses the principle of the method, including separating character series on the basis of morphological translating and splitting individual character on the basis of vertical projection. At the end of the paper, there is a performance evaluation.
In this paper, we present a Distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the ...
详细信息
ISBN:
(纸本)0780375084
In this paper, we present a Distant BI-Gram model, which extended the regular BI-Gram model by considering the distance information and weight parameters, in order to describe the long-distance restrictions among the Chinese sentence. The extraction of the statistical information and weight parameters of this language model is discussed. Based on this work, the word combination strength and spread are employed to extract the recurrent word combinations, i.e. collocations. The Distant BI-Gram Model and collocation are applied to a statistic-based post-processing system for improving the recognition performance of Chinese character. The experimental results show that by employ these two language models, the post-processing system achieves a higher improvement performance.
The curse of dimensionality is always problematic in pattern classification problems. In this paper, we provide a brief comparison of the major methodologies for reducing input dimensionality and summarize them in thr...
详细信息
ISBN:
(纸本)0780375084
The curse of dimensionality is always problematic in pattern classification problems. In this paper, we provide a brief comparison of the major methodologies for reducing input dimensionality and summarize them in three categories: correlation among features, transformation and neural network sensitivity analysis. Furthermore, we propose a novel method for reducing input dimensionality that uses a stochastic RBFNN sensitivity measure. The experimental results are promising for our method of reducing input dimensionality.
In the design of neural networks, how to choose the proper size of a network for a given task is an important and difficult problem that still deserves further exploration. One popular approach to tackling this proble...
详细信息
ISBN:
(纸本)0780375084
In the design of neural networks, how to choose the proper size of a network for a given task is an important and difficult problem that still deserves further exploration. One popular approach to tackling this problem is that of starting with an oversized network and then pruning it to a smaller size so as to achieve less computational complexity and better performance in generalization. This paper presents a pruning technique, via a quantified sensitivity measure, to remove as many neurons as possible, those with the least relevance, from the hidden layers of a Multilayer Perceptron (MLP). The sensitivity of an individual neuron is defined as the expectation of its output deviation due to expected input deviation with respect to the overall inputs from a continuous interval. The relevance of a neuron is defined as the multiplication of its sensitivity value by the summation of its outgoing weights. The basic idea is to iteratively train the network according to a certain performance criterion and then remove the neurons with the lowest relevance values. The pruning technique is novel in its quantified sensitivity measure. Computer simulations demonstrate that it works well.
Crisp decision trees are based on the precondition that linguistic terms and classes are crisp whereas fuzzy decision trees, which are an extension of the crisp case, are based on fuzzy valued attributes and classes. ...
详细信息
ISBN:
(纸本)0780375084
Crisp decision trees are based on the precondition that linguistic terms and classes are crisp whereas fuzzy decision trees, which are an extension of the crisp case, are based on fuzzy valued attributes and classes. Fuzzy decision tree is popular in dealing with the ambiguity and vagueness associated with human thinking. The generalization capability of decision tree, which is also called the predictive capability, is one of the most important indexes to judge whether a decision tree generation algorithm is good. The stronger the generalization is, the higher the prediction accuracy is. In practical applications, the generalization capability of decision tree algorithm directly affects the accuracy of decision-making. However, so far, nobody gives a comparison study between the generalization capabilities of fuzzy and crisp decision tree algorithms. This paper makes an attempt to compare the generalization capability of fuzzy and crisp decision trees in three aspects. It aims to provide some useful guidelines for selecting either a crisp or a fuzzy algorithm while decision tree induction is applicable to real problems.
Fuzzy set and fuzzy logic are an important and a practical mathematical tool for the processing of uncertain and vague information. The similarity relation is a basic notion in fuzzy set and has been applied to almost...
详细信息
ISBN:
(纸本)0780375084
Fuzzy set and fuzzy logic are an important and a practical mathematical tool for the processing of uncertain and vague information. The similarity relation is a basic notion in fuzzy set and has been applied to almost every field where uncertainty and vagueness are concerned. In this paper, a fuzzy logic with similarity is proposed and resolution- and paramodulation-based fuzzy reasoning is discussed. In order to effectively deal with similarity in reasoning procedure, the inference rule paramodulation is extended to fuzzy reasoning. It is shown that resolution and paramodulation are complete and sound for fuzzy predicate calculus. That is, on one hand, if a set of clauses is S-unsatisfiable, then there is a refutation using the resolution and/or paramodulation from the set;on the other hand, if every clause in a set of clauses is something more than a "half-truth" and the most unreliable clause has truth-value a, then it is guaranteed that all the logical consequence obtained by repeatedly applying the resolution and/or paramodulation will have truth-value no less than a.
暂无评论