نتایج جستجو برای: network parameter
تعداد نتایج: 868435 فیلتر نتایج به سال:
abstract: country’s fiber optic network, as one of the most important communication infrastructures, is of high importance; therefore, ensuring security of the network and its data is essential. no remarkable research has been done on assessing security of the country’s fiber optic network. besides, according to an official statistics released by ertebatat zirsakht company, unwanted disconnec...
the capacity of the hopfield model has been considered as an imortant parameter in using this model. in this paper, the hopfield neural network is modeled as a shannon channel and an upperbound to its capacity is found. for achieving maximum memory, we focus on the training algorithm of the network, and prove that the capacity of the network is bounded by the maximum number of the ortho...
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...
sustainability of water supply networks should be based on the risks of water hammer phenomenon. the purpose of this study is to provide a new approach to the analysis of water hammer phenomenon in the water supply network. by conventional methods, the damage because of water hammer is estimated based on the maximum pressure at nodes. however, during this phenomenon continuation and changing of...
This paper describes the design of a neural network that performs the phonetic-to-acoustic mapping in a speech synthesis system. The use of a time-domain neural network architecture limits discontinuities that occur at phone boundaries. Recurrent data input also helps smooth the output parameter tracks. Independent testing has demonstrated that the voice quality produced by this system compares...
We introduce a measure for the complexity of Boolean functions that is highly correlated with the generalization ability that could be obtained when the functions are implemented on feedforward neural networks. The measure, based on the calculation of the number of neighbour examples that differ in their output value, can be simple computed from the definition of the functions, independently of...
In this study, we used the ARIMA time series model, the fuzzy-neural inference network, multi-layer perceptron artificial neural network, and ARIMA-ANN, ARIMA-ANFIS hybrid models for the modeling and prediction of the daily electrical conductivity parameter of daily teleZang hydrometric station over the statistical period of 49 years. For this purpose, the daily data for the 1996-2004 period we...
An anonymous ring network is a ring where all processors (vertices) are totally indistinguishable except for their input value. Initially, to each vertex of the ring is associated a value from a totally ordered set; thus, forming a multiset. In this paper we consider the problem of sorting such a distributed multiset and we investigate its relationship with the election problem. We focus on the...
As an alternative to synthesis-by-rule, the use of neural networks in speech synthesis has been successfully applied to prosody generation, yet it is not known precisely which input parameters are responsible for good results. The approach presented here tries to quantify the contribution of each input parameter. This is done first by comparing the mean errors of networks trained with only one ...
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