The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The following topics are dealt with: particle swam optimization; evolutionary computation; case based reasoning; language processing, pattern classification; data mining; optimization; intelligence control; robotization; ubiquitous network; pervasive network; information system; network management; steganography; watermarking; image processing and network control.
Pattern recognition techniques have been widely used. In this paper, we propose an interpolation method for making classification decision (AIMMCD). This method makes an interpolation of the class labels of the patterns of the training set for classifying a new pattern. Compared with conventional pattern recognition techniques, AIMMCD has several advantages. First, when we use AIMMCD to produce the...
The gas outburst forecasts model is brought forward in this paper. Firstly, rough set requires discrimination data, considering distributed information of class, and continual condition attributes are discredited adopting information entropy theory. On the basis of that, redundancy attributes are eliminated using rough set reduction algorithm. Reduction attributes and rules are gained. Finally, through...
In this paper, we propose a novel adaptive fuzzy weight parameter PSO Algorithm (FPSO). In the improved algorithm, the inertia weight reserves its decreasing property after fuzzy treatment, and the position is controlled by fuzzy parameter. Simulations have been done to illustrate that the improved algorithm can regulate global search and local search, and has better search accuracy than the basic...
A new wavelet packet image compression method is proposed based on PSO algorithm. The PSO is utilized to find out the best wavelet packet basis for image compression. A fitness function is designed in terms of the Mean Square Error (MSE) and the sum of the node entropy. Compared with the global soft threshold compression algorithm provided by Matlab soft, the proposed method exhibits better compression...
Cloud estimation of distribution particle swarm optimizer combining PSO and cloud model is introduced. In the algorithm's offspring generation scheme, new particles are generated in the cloud estimation of distribution way or in the PSO way. The innovation of the algorithm is production of cloud particles according to the cloud model theory. The cognitive population obtained during optimization is...
In this paper, we manage to use the clustering method realize sonar image segmentation. A particle swarm optimization (PSO) based FCM algorithm (PSO-FCM) is proposed which PSO incorporate with Fuzzy Clustering Method(FCM). The algorithm takes the clustering result of PSO as the initialization of the FCM, and uses fuzzy measures and fuzzy integrals to express the adapt function. At last, the algorithm...
A novel particle swarm optimization algorithm for multi-objective optimization (MOO) based on fuzzy velocity updating strategy is developed and implemented in this paper. The proposed algorithm incorporates fuzzy velocity updating strategy, which can characterize to some extent the uncertainty on the true optimality of the global best position, into particle swarm optimization (PSO) so as to avoid...
For the discretization of particles in particle swarm optimization (PSO), we have proposed the family PSO (FPSO) previously. To further study the internal structure of FPSO, this paper defined two kinds of relationships between particles: equal relationship (ER) and generational relationship (GR). FPSO of equal relationship (ER-FPSO) and FPSO of generational relationship (GR-FPSO) were proposed. Simulations...
A projective point matching algorithm based on modified particle swarm optimization is presented. In the paper, the point matching problem turns into an optimization with two series of parameters, projective transform parameters and correspondent mapping parameters. Firstly, a modified particle swarm optimization (PSO) is introduced and a new rule searching for correspondences, closer point matching...
Biomoleculars act as a tool to build a multiple enzyme system based on human metabolic actions to perform basic logic operation connecting OR and AND gates. Three enzymes (invertase, amyloglucosidase, hexokinase) concert as a logic operation part, processing three molecular input signals (sucrose, maltose, and ATP) to produce G6P (glucose-6-phosphate). The other two enzymes glucose-6-phosphate dehydrogenase...
In this study, a new artificial neuron network model called the meta-controlled Boltzmann machine is introduced. The meta-controlled Boltzmann machine model includes the McCulloch-Pitts model, the Hop field network, and also the Boltzmann machine. The proposed method are applied both diffusion processes and simulated annealing. The convergence proof of the proposed method is shows in this paper. Meta-controlled...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.