نتایج جستجو برای: linear network
تعداد نتایج: 1117709 فیلتر نتایج به سال:
An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...
One of the concerns of budgeting researchers and managers is how to relate performance data to budget as one of the key concepts of performance-based budgeting. One of the most intricate parts of performance-based budgeting is how to attribute activities to resources and determine the shares of resource drivers. In most customary costing and budgeting methods, it is usually assumed that there i...
in this article, the linear array (with 20 elements in the horizontal orientation) of microstrip antenna is examined with horizontal polarization. the set includes three microstrip substrates. there is a power network in two lower substrates and microstrip patches in the upper substrate. excitation of patches has been done as coupled through the power network in two lower substrates. using the ...
Bankruptcy is an event with strong impacts on management, shareholders, employees, creditors, customers and other stakeholders, so as bankruptcy challenges the country both socially and economically. Therefore, correct prediction of bankruptcy is of high importance in the financial world. This research intends to investigate financial crisis prediction power using models based on Neural Network...
Multivariable regression and artificial neural network procedures were used to modeling of the input power and gas holdup of flotation. The stepwise nonlinear equations have shown greater accuracy than linear ones where they can predict input power, and gas holdup with the correlation coefficients of 0.79 thereby 0.51 in the linear, and R2=0.88 versus 0.52 in the non linear, respectively. ...
In this paper we solve a wide rang of Semidefinite Programming (SDP) Problem by using Recurrent Neural Networks (RNNs). SDP is an important numerical tool for analysis and synthesis in systems and control theory. First we reformulate the problem to a linear programming problem, second we reformulate it to a first order system of ordinary differential equations. Then a recurrent neural network...
Financial support has been supplied to Blume by NSF grant CCF-0910940 and by WWTF Grant “Die Evolution von Normen und Konventionen in der Wirtschaft”, Brock and Durlauf by the Vilas Professorship, and Durlauf by the University of Wisconsin Graduate School, Laurits Christensen Chair in Economics, and Institute for New Economic Thinking, all of which is greatly appreciated. Hon Ho Kwok and Xiangr...
Consider a communication network in which certain source nodes multicast information to other nodes on the network in the multihop fashion where every node can pass on any of its received data to others. We are interested in how fast each node can receive the complete information, or equivalently, what the information rate arriving at each node is. Allowing a node to encode its received data be...
The aim of this study is to introduce the Incremental Linear Controllers Network (ILCN). This algorithm consists of a linear controllers network (LCN) and a progressive control design algorithm (PCD). The LCN is a network of linear controllers each one being valid for a diierent operating region of the system. Such a control system can be used for the control of a (possibly discontinuous non li...
a new retrofit targeting procedure, based on pinch technology has been developed. the new procedure considers existing structure of a given network and finds the most compatible configuration with the network. to achieve this aim, the procedure uses a linear programming technique that maximize the compatibility. good compatibility between old and new networks helps to make the best use of capit...
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