In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
When writing a constraint program, we have to decide what to make the decision variable, and how to represent the constraints on these variables. In many cases, there is considerab...
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Formal analysis techniques can deliver important support during business process redesign efforts. This chapter points out the (potential) contribution of these formal analysis tec...
We submit a method (EMPI: Evaluation of Multimedia, Pedagogical and Interactive software) to evaluate multimedia software used in educational context. Our purpose is to help users...