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This article presents a new SVM (support vector machine) fast learning algorithm which is based on the boundary vector. The speed of this algorithm has been improved considerably than traditional support vector machine,the requirement of memory space has also been obviously reduced. At the same time,because the support vector won't be lost in the process of selecting the boundary vector, So the performance...
As the risk management of information technology is more and more important for enterprises' crisis management, the emphases of the whole course moving from the back to front has become an obvious trend in IT project's development. The IT project's establishment is no longer a simple and single action, but a complicated process which can be taken as system engineering. To effectively control risks...
Stock price predictions suffer from two well known difficulties, i.e., the high dimensionality and non-stationary variations within the huge historic price data. This paper presents a new financial time series-forecasting model by a case based clustering TSK fuzzy rule system for stock price predictions in Taiwan Stock Exchange Corporation (TSEC) . This forecasting model integrates a case based reasoning...
This paper points out the fundamental problems when controlling complex systems, concludes the principles for dealing with the problems in control of complex systems, which begins by reviewing on definitions and general properties of complex systems, and primary concepts of general system control. Furthermore, the relation between elementary control paradigms and general properties of complex systems...
One purpose of a well test is to get reservoir parameters. The problem is how to analyze the transient well test parameters and find relationship between them. We present an effective method to analyze the correlation between the well test interpretation parameters, which is a combination of grey correlation analysis and fuzzy clustering. In particular, we use grey correlation analysis to describe...
This paper proposes reliability evaluation for interconnection planning using a tie line constrained equivalent assisting generator model (TEAG) that considers uncertainties of interconnected transmission systems and tie lines. Development of this model was triggered by the need to perform probabilistic reliability evaluations on the NEAREST (North East Asia Region Electric Systems Tied) interconnection...
Learning is an integral part of intelligent agent's problem-solving ability. Most research works on learning assume that information be provided in a complete and well-structured manner and/or when rules are clearly specified. They have difficulties in handling cases with incomplete and unstructured data. This document presents an information retrieval based approach to deal with this difficulty....
As one of the most important problems in data streams mining, many studies have been done on mining closed frequent itemsets. However mining closed frequent itemsets in data streams has not been well addressed. In this paper, we design HCI-Mtree (Hash-based Closed Itemsets Monolayer tree) to maintain the complete set of current closed itemsets. In HCI-Mtree, the itemsets with the same frequency are...
As cross-lingual information retrieval attracts increasing attention, tools that measure cross-lingual document similarity become desirable. Since the way that people convey thoughts at the abstract concept level makes little, if any, difference in the languages they use, it is possible to measure semantic similarity between different lingual documents based on the concepts conveyed by the documents...
Since the censored and imprecise information are ubiquitous in the real world, under this fuzzy environment, the supplier selection based on the lifetime for the exponential model is proposed in this paper. The fuzzy estimates ^tp L% of lifetime capability indices tp L of suppliers are obtained according to the approach taken by Buckley [3][4] and the Zadeh's [14] extension principle in fuzzy sets...
This paper presents an identity-based blind multisignature from bilinear pairings with the idea of broadcasting multi-signature. The scheme uses identity-based public key instead of digital certification public key. It can omit the process of getting the public key from the system in verifying phase, which improves efficiency of the system and reduces the storage space. We analyze correctness, undeniability...
Noise removal is an important image processing problem which has wide applications in different fields. The noise removal and edge preservation algorithm based on variational method and partial differential equation (PDE) for processing Magnetic Resonance images is proposed. The proposed method can avoid the blocky effects and false edges, compared with other second-order PDE method; moreover, it...
To improve the performance of hybrid concatenated convolutional codes (HCCC); a modified Log-MAP algorithm and an enhanced HCCC are introduced and demonstrated to be efficient and practical by simulation results. The new coding scheme achieves about 1.0 dB additional coding gain, compared to the general turbo coding scheme at a BER = 10-6, with a frame length of 8192-bit. The system complexity and...
A new multirate fuzzy control technique for continuous-time nonlinear systems is presented in this paper. First, the lifted Takagi-Sugeno(T-S) fuzzy model of the plant is constructed subject to linear matrix inequalities (LMIs). Then, a multirate input controller for the multiple T-S linear models, based on the design of the local feedback controllers using optimal diskpole (D-pole) placement, is...
In this paper, the global asymptotic stability problem is considered for a class of neural networks with time-varying discrete and distributed delays. Based on the Lyapunov functional method, and by using the new technique for estimating the upper bound of the derivative of Lyapunov functional, the novel asymptotic stability criterion is derived in terms of linear matrix inequalities (LMIs). Two numerical...
A new method of fault diagnose distinguishing based on neural network is raised. Fault diagnose method of power electronic has been studied based on the wavy curve and neural network. Take the threephase bridge-type controllable thyristor circuit disconnection fault as the example, The results of power electronic circuit experiment show that this method is simple, is direct-viewing, may enhance the...
According to the thickness and the pre-deformation of throttle slice, and the throttle hole area, the velocity points of valve opening were analyzed by the relation of flux to the velocity, and pressure to the deformation of throttle slice, then the analytic formulas of telescopic damper velocity at which valve opening were given. The outer characteristic model of telescopic damper was established...
A back propagation algorithm is a supervised learning algorithm applied to train a neural network off line. This paper introduces a modified learning algorithm. The training algorithm, which is composed of a temporal difference (TD) method and a dynamic BP algorithm (DBP), can train an Elman network online. A gradient descent momentum and adaptive learning rate algorithm is applied to the TD-DBP algorithm...
Vibrating dynamic characteristics have been a major unknown in the modeling and mechanical analysis of large hydro generators. An identification algorithm for vibrating dynamic characterization by using artificial neural network is developed for multi-degree-offreedom systems. By making use of measured dynamic responses of the hydro generator at Fengman Hydropower Plant, the estimation algorithm identifies...
To forecast quickly the operation condition of loom, optimizing operation parameters of loom, and improve the production efficiency of loom. The paper studied operation prediction of loom production based on neural network. Because traditional network method had the defects of slow convergence velocity and low prediction accuracy, BP algorithm was improved by combined algorithms by the merging of...
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