This paper proposes a new method of Online Analytical Processing on EMBL Nucleotide SequencesDatabase. This scheme is used to automatically restore flat file data into relational database, which is then convertedinto OLAP's data marts. Both the quality and speed of analysis will be greatly improved based on the data marts. Webelieve that this method is a powerful and flexible tool and can be seen as successful application of data mining inmolecule Biology.
A compound neural network was constructed during the process of identification and multi-step prediction. Under the PID-type long-range predictive cost function, the control signal was calculated based on gradient algorithm. The nonlinear controller’s structure was similar to the conventional PID controller. The parameters of this controller were tuned by using a local recurrent neural network on-line. The controller has a better effect than the conventional PID controller. Simulation study shows the effectiveness and good performance.
