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The game problem is very pervasive. As long as some conflict of interest exists between the two parties in the chessboard, game becomes a method which the conflict expresses and gets solution. Game and countermeasure will become a kind of hot problems on intelligent system research. The chess is a kind of intelligent game abstracted from the wars therefore it is a standard problem in game. The computer...
We consider a system of agents as a layer between services and the network hosts. We present a self-organizing system of agents able to offer services with an increase of the speed, and decrease of the network traffic. A coordination model defines how the agents interact, and how their interactions can be controlled; this includes dynamic creation and destruction of agents, control of communication...
Conventional way of recording the daily life is to write a diary which can help the people recall what they did, but it is based on the human?s limited memory. Recent advances in pervasive and mobile technology allow us not only to log user?s daily activities (location, call log, SMS, and proximity information with Bluetooth) but also to store personal multimedia information (photo, video and documents),...
Western psychology has traditionally focused on processes considered to be internal or private to the individual, with the social world generally regarded as an aspect of "the environment." Recent cross-cultural psychological research reveals fundamental differences in the way cognition operates in people from different cultures, demonstrating that the social environment not only affects...
A chance is an event, which might be rare and uncertain but is significant for decision making in the dynamic environment. Since the birth of the first human, discovering a chance has been required for his/her survival in the real nature, and nowadays for our survival in the social environment. Since we initiated projects and workshops on Chance Discovery in 2000, we applied this simple and basic...
Designers of racing cars and aeroplanes today would typically put their designs through wind-tunnel testing. Many business strategies determine the success or failure of an enterprise. It is sensible to put these strategies into action before testing them rigorously. On the other hand, new markets are being designed all the time; examples include the electricity market and traffic markets. The robustness...
In this talk, a fuzzy singularly perturbed model is proposed for the modeling, control and filtering of a class of multi-time-scale dynamical systems, such as semiconductor packaging processes, multi-link (joint) flexible manipulators and large scale flexible space structure. The variant expands the idea from Takagi-Sugeno type fuzzy system that the dynamics of a class of distributed parameter systems...
The trustless deflection occurred by the acquisition system is the main reason to bring the illusive alarms (above 80%). Although the acquisition system of the bridge structural health monitoring system (BSHMS) is designed by the advanced sensors, for example, the photoelectric imaging deflection meter system and so on. However, the trustless deflection generated by much reason in data acquisition...
Mid- and long term hydrologic forecasting of drainage area is a difficult issue in engineering design and hydrological process simulation. Combined with wavelet neural network (WNN) to calculate and forecast the weight of model, fuzzy recognition model (FRM) is used to fit and predict mid- and long term hydrological phenomena, and the regression equation with correlation coefficient that more than...
Though the generalized predictive control (GPC) algorithm had been gotten well control effect to the linear or weak nonlinear systems, there are still difficulties to construct many steps predictive models and its control laws for the strong nonlinear systems. For solving the questions, based on the high nonlinear mapping property of artificial neural networks (NN), the control method which is GPC's...
Artificial neural networks are relevant to solve large sample problems and the learning performance may not be good in small sample conditions. Inspired by applications of posterior probability, a new neural network learning method based on posterior probability (PPNN) is proposed to improve small data set learning accuracy in this paper. Together with the techniques of creating new learning samples...
This paper is concerned with the stability of the impulsive bidirectional associative memory (BAM) neural networks with time delays. By means of Lyapunov function and analysis technique, sufficient conditions are obtained for the existence and uniformly stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. This stability property...
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