background: although studies have shown that porcelain veneers are very effi cient for treating discolored teeth, they did not address in particular the minimum thickness of a multilayer ips e.max press (ivoclarvivadent, schaan, liechtenstein) restoration required to mask discolored tooth. the aim of this study was to determine the minimum thickness of a multilayer porcelain restoration require...

Sophisticated multilayer neural networks have achieved state of the art results on multiple supervised tasks. However, successful applications of such multilayer networks to control have so far been limited largely to the perception portion of the control pipeline. In this paper, we explore the application of deep and recurrent neural networks to a continuous, high-dimensional locomotion task, ...

In this paper we are working on the Neural Network based classifier that solves the classification problem. The paper describes the multilayer perception approach to describe the neural network architecture. For this classifier we use the Fisher’s Iris Database (Fisher, 1936) available in MATLAB and on the Internet. This database is the preprocessed and is the best database in the pattern recog...

To achieve its impressive performance in tasks such as speech perception or object recognition, the brain extracts multiple levels of representation from the sensory input. Backpropagation was the first computationally efficient model of how neural networks could learn multiple layers of representation, but it required labeled training data and it did not work well in deep networks. The limitat...

In this paper we focus our research on user identification rather than user verification by analyzing handwritten signature and haptic information such as pressure. For analysis, a multilayer perception (MLP) neural network is adopted. In order to verify the proposed method, 16 users’ signatures were measured with haptic information. We successfully identified users at an average success rate o...

With the construction of smart cities, number Internet Things (IoT) devices is growing rapidly, leading to an explosive growth malware designed for IoT devices. These pose a serious threat security The traditional classification methods mainly rely on feature engineering. To improve accuracy, large different types features will be extracted from files in these methods. That brings high complexi...

223 Abstract— Data mining techniques are broadly classified into two classes (i) Statistical Techniques and (ii) Knowledge Discovery. The continuing rapid growth of on-line data and the widespread use of databases necessitate the development of techniques for extracting useful knowledge and for facilitating database access. This paper analyzes the results of multilayer perceptron with pace regr...