نتایج جستجو برای: network parameter
تعداد نتایج: 868435 فیلتر نتایج به سال:
In recent years, the combination of cognitive radio and collaborative communication has been widely studied applied because its ability to increase user throughput improve spectrum utilization in a flat-fading wireless channel environment. Such networks that use collaboration capacity are called networks. A Nash equilibrium game-based relay node selection algorithm is investigated, which aims m...
reservoir permeability is a critical parameter for the evaluation of hydrocarbon reservoirs. there are a lot of well log data related with this parameter. in this study, permeability is predicted using them and a supervised committee machine neural network (scmnn) which is combined of 30 estimators. all of data were divided in two low and high permeability populations using statistical study. e...
This paper explores the e↵ects of parameter sharing on Bayesian network (BN) parameter learning when there is incomplete data. Using the Expectation Maximization (EM) algorithm, we investigate how varying degrees of parameter sharing, varying number of hidden nodes, and di↵erent dataset sizes impact EM performance. The specific metrics of EM performance examined are: likelihood, error, and the ...
ionospheric slab thickness is defined as the ratio of tec to maximum electron density of the f-region (nmf2), proportional to the square of the f2-layer critical frequency (fof2). it is an important parameter in that it is linearly correlated with scale height of the ionosphere, which is related to electron density profile. it also reflects variation of the neutral temperature. therefore, ionos...
in this paper, a state-of-the-art neuron mathematical model of neural tensor network (ntn) is proposed to rdf knowledge base completion problem. one of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. for this reason, a new representation of this network is suggested that solves this difficulty. in the representation, th...
Bayesian networks (BNs) are modern tools for modeling phenomena in dynamic and static systems and are used in different subjects such as disease diagnosis, weather forecasting, decision making and clustering. A BN is a graphical-probabilistic model which represents causal relations among random variables and consists of a directed acyclic graph and a set of conditional probabilities. Structure...
Although many researchers have studied the flow hydraulics in compound channels, there are still many complicated problems in determination of their flow rating curves. Many different methods have been presented for these channels but extending them for all types of compound channels with different geometrical and hydraulic conditions is certainly difficult. In this study, by aid of nearly 400 ...
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