The generalized delta rule (which is also known as error backpropagation) is a significant advance over previous procedures for network learning. In this paper, we compare network learning using the generalized delta rule to human learning on two concept identification tasks: • Relative ease of concept identification • Generalizing from incomplete data

Human error in computer systems has been blamed for many military and civilian catastrophes resulting in mission failure and loss of money and lives. However, the root cause of such failures often lies in the system's design. A central theme in designing for human-error tolerance is to build a multi-layered defense. Creating such a robust system requires that designers effectively manage severa...

This paper proposes an evidence-based process and engineering design tool for linking human error identification taxonomies, and human error prevention and mitigation design principles with the system engineering design process. The process synthesizes the design evidence generated and used during the design and analysis process to clearly demonstrate that credible error threats have been ident...

Human error identification systems have been criticised for failing to consider the problems of operational incident investigators and system developers. Increasingly esoteric human error modelling and classification approaches have often been met with resistance from the potential user groups that could apply them with the greatest impact. In order to improve the transfer of this technology, e...

Human errors occurring during railway maintenance activities can significantly reduce the availability of equipment. Identification of potential human errors, their causes and prediction of the associated probabilities are important stages in order to manage such errors. This paper investigates the probability of human error during the maintenance of railway bogies. A case study examines techni...

Background & Aims of the Study: Today, in many sensitive occupational environments, human error can lead to catastrophic events. Given that the sensitive task of a control area operator, which in the occurrence of malfunction or failure leads to irreparable events, it is important to predict human errors to reduce its adverse consequences. Therefore, the present study was  perform by aiming to ...