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Radial basis function neural network (RBFNN) is widely applied in pattern recognition. Comparing with the Gaussian function of RBFNN, the ellipsoidal basis function (EBF) can make the partition of input space more specific. Ellipsoidal basis function neural network (EBFNN) is a forward-feedback neural network of which hidden-layer function is EBF, which can make the partition of input space limitary...
A proved affine projection algorithm (APA) is proposed for uplink asynchronous multicarrier code-division multiple-access (MC-CDMA) systems with multipath Rayleigh-fading channel. The proposed technique is totally blind, i.e., the channel estimation of desired user (the spreading code is known) is carried out by subspace separation, which doesn't need the rank estimation in the first step, then the...
The paper concentrates on the issue how to get the answer to provide knowledge support with available knowledge of concept design for the problem cases. First, a method based on the rules and feedbacks from users is offered for concept-designing. User's feedback is integrated with case-based reasoning (CBR). This method can improve effect and precision of knowledge support for problem cases. Function...
This paper proposes DD-Stream, a framework for density-based clustering stream data. The algorithm adopts a density decaying technique to capture the evolving data stream and extracts the boundary point of grid by the DCQ-means algorithm. Our method resolving the problem of evolving automatic clustering of real-time data streams, cannot only find arbitrary shaped clusters with noise, but also avoid...
Least squares support vector machine (LSSVM) has been used in soft sensor modeling in recent years. In developing a successful model based on LSSVM, the first important step is feature extraction. Principal components analysis (PCA) is a usual method for linear feature extraction and kernel PCA (KPCA) is a nonlinear PCA developed by using the kernel method. KPCA can efficiently extract the nonlinear...
Around the core issue of how to construct the literal meaning of natural language, we provide the theory of computation of categorial expressions directed by phrasal structures. This theory uses hierarchial method to describe and interpret language phenomena. We formalize a categorial expression as a directed acyclic graph and define the reduction and unification calculus of categorial expressions.
The particle swarm optimization algorithm is a new kind of random optimization algorithm based on the swarm intelligence. It has been used in many field and it work very well. Many papers about the selection of the parameters have been written. This paper shows that the velocity vt of the PSO is cyclic when the parameters are constants. So It gives the reason for the randomicity in the PSO.
It is well known that the fractional order systems are difficult to be dealed with and the fractional order chaotic systems are more difficult to be controlled. Based on linear transfer function approximation of the fractional integrator in frequency domain, the fractional order chaotic system has been discussed. Through the numerical simulation, it is found that the fractional order chaotic system...
The relationship between basic probability assignment (BPA) and belief function in evidence theory is studied. The idea that belief function is regarded as BPA in data fusion is firstly introduced in this paper. An improved fusion algorithm based on distributed fusion method is put forward using this idea. The improved algorithm is called 'distributed fusion algorithm based on belief function assignment'...
This paper proposes a new data table decomposition algorithm to address problems in extracting rules from massive data tables, e.g. low effectiveness, low computing speed and long rule length. With rough set theory, in the perspective of improving classification correctness and sub data table purity, this paper brings up attribute selection measure, and proposes to stop decomposing process to reduce...
This paper presents a hybrid evolutionary algorithm to solve mixed-integer nonlinear bilevel programming problems, in which integer decision variables are controlled by an upper-level decision maker and real-value (continuous) decision variables are controlled by a lower-level decision maker. This hybrid evolutionary algorithm contains the mutation operator used in the differential evolution, the...
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