This paper addresses the problem of size invariant shape recognition based on scale transformation within a modulated competition neural layer. In this paper we discuss the advantages of the application of a neural ne...
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In this paper a further step towards a novel approach to adaptive nonlinear control developed at Budapest Tech in the past few years is reported. Its main advantage in comparison with the complicated Lyapunov function...
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In this paper a further step towards a novel approach to adaptive nonlinear control developed at Budapest Tech in the past few years is reported. Its main advantage in comparison with the complicated Lyapunov function based techniques is that it is based on simple geometric considerations on the basis of which the control task can be formulated as a fixed point problem for the solution of which a contractive mapping is created that generates an iterative Cauchy sequence for single input-single output (SISO) systems. Consequently it converges to the fixed point that is the solution of the control task. In the formerly developed approaches for monotone increasing or monotone decreasing systems the proper fixed points had only a finite basin of attraction outside of which the iteration might become divergent. The here sketched potential solutions apply a special function built up of the ldquoresponse functionrdquo of the excited system under control and of a few parameters. This function has almost constant value apart from a finite region in which it has a ldquowrinklerdquo in the vicinity of the desired solution that is the ldquoproperrdquo fixed point of this function. By the use of an affine approximation of the response function around the solution it is shown that at one of its sides this fixed point is repulsive, while at the opposite side it is attractive. It is shown, too, that at the repulsive side another, so called ldquofalserdquo fixed point is present that is globally attractive, with the exception of the basin of attraction of the ldquoproperrdquo one. This structure is advantageous because (a) no divergence can occur in the iteration, (b) the convergence to the ldquofalserdquo value can easily be detected, and (c) by using some ancillary tricks in the most of the cases the solution can be kicked from the wrong fixed point into the basin of attraction of the ldquoproper onerdquo. In the paper preliminary calculations are presented.
This paper presents an approach for calculating risk of integration relations between applications in an application landscape. For this, different attributes for documenting applications and integration relations are...
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This paper presents an approach for calculating risk of integration relations between applications in an application landscape. For this, different attributes for documenting applications and integration relations are proposed. based on these attributes a risk calculation schema was evolved. Use of the calculation is to detect application domains which are highly integrated with each other and are bearing a high risk for the business. With detection of these domains IT managers can consider if a reengineering is required.
We proposed a self-repairing network where nodes are capable of repairing neighboring nodes by mutually copying. A critical point where faulty nodes can be eliminated has been investigated. This paper further studies ...
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Antibodies, among others, are important components of the immune system. This paper proposes using specific recognition capability exhibited by antibodies for computation, in particular, solving stable marriage proble...
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ISBN:
(纸本)9784990288013
Antibodies, among others, are important components of the immune system. This paper proposes using specific recognition capability exhibited by antibodies for computation, in particular, solving stable marriage problem which have been studied as combinatorial computational problems. Antibody-based computation is proposed by integrating the recognition capabilities of antibodies. The computation is carried out on an array form that is suitable not for only expressing stable marriage problems but for further integration to antibody microarrays.
This paper explores a constructive systems approach to understand the immune system, starting from antibodies which are major units bearing specific recognition of the adaptive immune system. The exploration proceeds ...
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This paper explores a constructive systems approach to understand the immune system, starting from antibodies which are major units bearing specific recognition of the adaptive immune system. The exploration proceeds in stages: arrayed recognitions; networked recognition/actions; and diversified recognition/actions. System theoretic aspects of the immune system will be discussed with respect to possible application of immunity-based problem solving
Research on energy efficiency in buildings has proved that the design and even the sophisticated facilities such as building energy management systems (BEMS), aiming to improve the indoor environmental conditions whil...
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Research on energy efficiency in buildings has proved that the design and even the sophisticated facilities such as building energy management systems (BEMS), aiming to improve the indoor environmental conditions while minimizing the energy needs, are not sufficient enough due to users interference. Users are a dynamic part of the building, therefore they should be taken into account in the control strategy. Latest trends in designing intelligent building energy management systems (IBEMS) integrate a man machine interface that could store the user's preferences and adapt the control strategy accordingly. The objective of the present paper is to present the advantages of the fuzzy control techniques together with a man machine interface based on a smart card terminal in satisfying the user preferences. A fuzzy controller is developed and the minimization of energy consumption is achieved by the use of a suitable cost function for the whole system. The overall control system including the cost function has been modeled and tested by using the software tool MATLAB/SIMULINK.
In this paper, we consider a multi-agent intelligent tutoring system for the learning of computer programming. It provides a multiple domain learning environment for language learners. The aim of the system is to teac...
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In this paper, we consider a multi-agent intelligent tutoring system for the learning of computer programming. It provides a multiple domain learning environment for language learners. The aim of the system is to teach the target domain by using a supporting domain(s) to reinforce the learning of it. The system is strongly built upon a cognitive theory that affirms there are successful knowledge transfers in the learning of knowledge-rich domains like computer programming. To implement it, we chose a multi-agent system because of the features of agents, which provide flexibility for future expansion.
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