نتایج جستجو برای: entropy production minimization
تعداد نتایج: 697066 فیلتر نتایج به سال:
A compact fin-tube heat exchanger is used to transfer current fluid heat inside the tubes into the air outside. In this study, entropy production and optimized Reynolds number for finned-tube heat exchangers based on the minimum entropy production have been investigated. As a result, the total entropy of compact heat exchangers, which is the summation of the production rate of fluid entropy ins...
One way of using the entropy criteria in learning systems is to minimize the entropy of the error between two variables: typically, one is the output of the learning system and the other is the target. This framework has been used for regression. In this paper we show how to use the minimization of the entropy of the error for classification. The minimization of the entropy of the error implies...
One way of using the entropy criteria in learning systems is to minimize the entropy of the error between two variables: typically, one is the output of the learning system and the other is the target. This framework has been used for regression. In this paper we show how to use the minimization of the entropy of the error for classification. The minimization of the entropy of the error implies...
an economic system is comprised of different primary flows that can be captured in macroeconomic models with complex network relations. theoretically and empirically in this system, weak substitution or complementarity of environmental materials, like energy and other production factors such as capital, is undeniable. this is an effective critique on neoclassical economics. in this paper, we vi...
Belief propagation is a remarkably effective tool for inference, even when applied to networks with cycles. It may be viewed as a way to seek the minimum of the Bethe free energy, though with no convergence guarantee in general. A variational perspective shows that, compared to exact inference, this minimization employs two forms of approximation: (i) the true entropy is approximated by the Bet...
Markov Random Fields (MRF) minimization is a well-known problem in computer vision. We consider the augmented dual of the MRF minimization problem and develop a Mirror Descent algorithm based on weighted Entropy and Euclidean Projection. The augmented dual problem consists of maximizing a non-differentiable objective function subject to simplex and linear constraints. We analyze the convergence...
This paper proposes fuzzy entropy minimization as an emergent property of holonic structures. When applied in the context of multi-agent systems this emergent property leads to automatic clustering of the agents into holonic organizations. When modeling enterprises as software agents the property turns into an inherent characteristic of holonic virtual organizations that enables clustering the ...
Belief propagation is a remarkably effective tool for inference, even when applied to networks with cycles. It may be viewed as a way to seek the minimum of the Bethe free energy, though with no convergence guarantee in general. A variational perspective shows that, compared to exact inference, this minimization employs two forms of approximation: (i) the true entropy is approximated by the Bet...
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