background: noise prediction is considered to be the best method for evaluating cost-preventative noise controls in industrial workrooms. one of the most important issues is the development of accurate models for analysis of the complex relationships among acoustic features affecting noise level in workrooms. in this study, advanced fuzzy approaches were employed to develop relatively accurate ...

abstract   background : leukemia is one of the mostcommon cancers in children, comprising more than a third of all childhood cancers. newly affected patients in usa are estimated as 10100cases, and if these cases are diagnosed late or proper treatment is not applied, then it can be mortal. because rapid and proper diagnosis of leukemia based on clinical or medicinal findings (without biopsy) is...

traditional poultry production has changed to a considerable industry after few decades. now, poultry industry is one of the main sectors to obtain the required protein for human consumption. prediction of the weight and number of eggs according to economic traits can improve the efficiency of production and the profit of producers. in present study, the weight and number of eggs in mazandaran ...

normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 background: ca 15.3 is elevated in most patients with distant metastatic breast cancer who had prognostic information. the present study was performed to estimate predictive ability of ca 15.3 in assessment of symptomatic metastasis in patients with breast cancer. materials and methods: during five years, 159 primary breas...

this paper presents the prediction of vehicle's velocity time series using neural networks. for this purpose, driving data is firstly collected in real world traffic conditions in the city of tehran using advance vehicle location devices installed on private cars. a multi-layer perceptron network is then designed for driving time series forecasting. in addition, the results of this study a...

this paper presents a hybrid approach to developing a short-term traffic flow prediction model. in thisapproach a primary model is synthesized based on neural networks and then the model structure is optimized throughgenetic algorithm. the proposed approach is applied to a rural highway, ghazvin-rasht road in iran. the obtainedresults are acceptable and indicate that the proposed approach can i...

the strength of concrete is a function of the proportions of the constituent materials, namely, cement, water, fine and coarse aggregates. the conventional methods used to determine the mix proportions that will yield the desired strength, are laborious, time consuming and expensive. in this paper, a mathematical method based on modified regression theory is formulated for the prediction of con...

The deluge of genomic data is giving biologists their first post-genomic headache: what do all those genes do? Consequently, there has been a growing effort to computationally determine protein function. Several different methods have been implemented, each with its own strengths and weaknesses. However a biologist trying to predict a proteins function has to know and use many different tools t...

Structured prediction models have been found to learn effectively from a few large examples— sometimes even just one. Despite empirical evidence, canonical learning theory cannot guarantee generalization in this setting because the error bounds decrease as a function of the number of examples. We therefore propose new PAC-Bayesian generalization bounds for structured prediction that decrease as...