Abstract Neural networks have promises for developing handwritten digit processing and hence in this paper, we have given model for training. In this work we have used computation graphs for training and measuring the neural network. The features of the propose system is that it speed up the network building and training processing, and resulted in the new network model in... Neural networks have promises for developing handwritten digit processing and hence in this paper, we have given model for training. In this work we have used computation graphs for training and measuring the neural network. The features of the propose system is that it speed up the network building and training processing, and resulted in the new network model in the runtime environment. We have explained how we build the computation graphs while developing neural network and training. We have carried out experimental tests and described the use of data for handwritten digits training. Read More Read Less

Abstract For assessing the effectiveness of stemming it is possible to use the and measure the volume of incorrect stem produced during the stemming process. We have conducted the stemming exercise for Serbian language and we have added new rules for stemming to reduce the errors. After improvement, the evaluation has given new rules which has good results and effects for... For assessing the effectiveness of stemming it is possible to use the and measure the volume of incorrect stem produced during the stemming process. We have conducted the stemming exercise for Serbian language and we have added new rules for stemming to reduce the errors. After improvement, the evaluation has given new rules which has good results and effects for stemmer corrections. Read More Read Less

Abstract In the recent period, the Vehicular Ad-Hoc Networks is increasingly applied for various uses in cars, buses and trucks. While designing the mobile networks, the car movement can act as a signal as it work as nodes in the networks. In the VANET deployment process, each participating car is used as a wireless router which make the cars to connect... In the recent period, the Vehicular Ad-Hoc Networks is increasingly applied for various uses in cars, buses and trucks. While designing the mobile networks, the car movement can act as a signal as it work as nodes in the networks. In the VANET deployment process, each participating car is used as a wireless router which make the cars to connect the network of various ranges. This process generates safety applications as well as other intelligent based transportation systems. For successful intelligent transportation systems, algorithms and protocols are applied. In this work we use Message transmission algorithm and the related algorithms for its employment. The used new algorithm enables to speed up the processes such as congestions, accidents, damaged roads, inclement weather and other activities. Read More Read Less