Abstract: Safety is seen as a key factor for a successful business and an inherent element of business performance. Safety control means changing system design parameter as well as production parameters and human behaviour to meet safety requirements. It is also necessary to face the risks and accidents that can occur. In this paper, the aim is to present ontology for risk assessment in industrial case to feed a case based reasoning data base in order to evaluate risks and then regulate human behavior and the system parameters.

• Publication Date: 28-May-2017
• DOI: 10.15224/978-1-63248-121-4-01
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Abstract: The process for classifying a set of data can depend on several variables, which can have a non-very direct relation among them. Using mathematical techniques such as regression is one of the most accepted methods. Moreover, in the last time and when number of data is higher and concepts like deep learning are applied, artificial neural networks (ANN) are taking into account as a method to solve these classification systems. But, when these ANN are used, some problems must be resolved in order to obtain good results. Some of these problems are overfitting and underfitting. In this paper, an approach to the resolution of them by means of regularization is dealt with.

• Publication Date: 28-May-2017
• DOI: 10.15224/978-1-63248-121-4-02
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