نتایج جستجو برای: network parameter
تعداد نتایج: 868435 فیلتر نتایج به سال:
the purpose of the present study is to compare the changes in b-value parameter using frequency-magnitude distribution for the data before and after the silakhor earthquake by gutenberg-richter relation. the variations of b-values are investigated using broadband iranian national seismic network center (bin). besides, spatial and time variations of the parameters were analyzed. the spatial vari...
Stable solutions of the Kuramoto model on a regular network are investigated. It is shown that there are two stable states: a completely synchronized state with an order parameter equal to one and a completely incoherent state with an order parameter equal to zero. Also, the situation that could lead to the order parameter just equal to one is found out. Furthermore, it is shown that the phase ...
We describe a method for construction of specific types of Neural Networks composed of structures directly linked to the structure of the molecule under consideration. Each molecule can be represented by a unique neural connectivity problem (graph) which can be programmed onto a Cellular Neural Network. The idea was to translate chemical structures like small organic molecules or peptides into ...
ground vibrations caused by blasting are undesirable results in the mining industry and can cause serious damage to the nearby buildings and facilities; therefore, controlling such vibrations has an important role in reducing the environmental damaging effects. controlling vibration caused by blasting can be achieved once peak particle velocity (ppv) is predicted. in this paper, the values of p...
Constrained optimization problems have a wide range of applications in science, economics, and engineering. In this paper, a neural network model is proposed to solve a class of nonsmooth constrained optimization problems with a nonsmooth convex objective function subject to nonlinear inequality and affine equality constraints. It is a one-layer non-penalty recurrent neural network based on the...
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