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2 Applied Mathematics and Computer Science

2 1998

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System modelling using neural network parameter functions

100%

Tholudur A. , Ramirez W. F.

Applied Mathematics and Computer Science

1998

tom Vol. 8, no 4

887-898

The development of mathematical models that accurately describe the dynamics of a complex system is a very difficult task. The use of neural networks in conjunction with prior process knowledge improves modelling performance. This can be achieved by using the method of neural network parameter function modelling. This paper presents the application of this technique to the modelling of a complex batch biotechnology system. The models developed are optimized using two different methods and the results compared.

Source identification in distributed parameter systems

100%

Skliar M. , Ramirez W. F.

Applied Mathematics and Computer Science

1998

tom Vol. 8, no 4

733-754

In this paper, we solve the problem of the pointwise source identification of the convection-diffusion transport processes. This is done by converting the identification problem into an optimization problem of finding a spatial location and the capacity of a point source which results in the best match of model-predicted measurements to actual observed measurements.