... examined a variety of neural network architectures, including traditional artificial neural networks, generalized recurrent neural networks and long short-term memory neural networks as candidates for the prediction model. The authors trained the selected predictive model using this data and identified...

... and cost‐effective scheme. The route to be followed is … © MCB UP Limited 2000 Project brief Strategic planning Decision making Neural networks The process also attempts to re‐orientate a client’s frame of reference in defining projects (project initiation) from the prescriptive...

...: The paper aims to raise awareness of the need to control the energy usage in sports centres and how that need can be effectively and efficiently met. In addition, the use of modelling to predict energy costs will be covered as well as an alternative method – Neural Network Analysis. In all, the paper...