In a production system it is usual to stress minimum tardiness to achieve higher client satisfaction.
According to the client relevance, job processing costs and requirements, and various other considerations, a weight is assigned to each job. An important, non-trivial,…

The reality of global climate changes creates the necessity of predicting how will be the climatic scenario in our planet and how it will affect the economic activities in the future. For some climatic variables the global climate models projections…

This paper presents a knowledge-based approach to
reducing impediments to collaboration in a
distributed environment. A major impediment to
such collaboration is the issue of communications -
clearly and efficiently expressing the desires of every
stakeholder in the process, as…

Objetivo: Evaluar los efectos de un programa de intervención psicoeducativa dirigido a niños y adolescentes con diabetes para promover el cuidado autónomo de la enfermedad y la mejora de su estado de salud. Métodos: Se utilizó un diseño cuasi experimental,…

Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

Artificial neural networks (ANN) are very efficient in solving various kinds of problems But Lack of explanation capability (Black box nature of Neural Networks) is one of the most important reasons why artificial neural networks do not get necessary interest…

Cardiopulmonary resuscitation should be known by all health workers. Advanced life support should be protocol driven and all first responders should be well trained in carrying this out. My aim in doing this audit was to assess the training and…

The lobbying of government by various interests is regarded as central to the democratic process. Deliberative democratic theorists tell us that the regulation of lobbying has a positive effect on political systems, and the behaviour of those within them. Yet,…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…