Linear system approach

Veng-Pedersen P, Paustenback DJ, Carlson GP, et al. 1987. A linear systems approach to analyzing the pharmacokinetics of carbon tetrachloride in the rat following repeated exposures of 8 and 11.5 h/day. Arch Toxicol 60 355- 364. 

Our choice for the non-linear system approach to PARC is the ANN. The ANN is composed of many neurons configured in layers such that data pass from an input layer through any number of middle layers and finally exit the system through a final layer called the output layer. In Fig. 4 is shown a diagram of a simple three-layer ANN. The input layer is composed of numeric scalar data values, whereas the middle and output layers are composed of artificial neurons. These artificial neurons are essentially weighted transfer functions that convert their inputs into a single desired output. The individual layer components are referred to as nodes. Every input node is connected to every middle node, and every middle node is connected to every output node. 

Y. Wang, A. Roy, L. Sun, and C. E. Lau, A double-peak phenomenon in the pharmacokinetics of alprazolam after oral administration. Drug Metab Dispos 27 855-859 (1999). P. Veng Pedersen, Pharmacokinetic analysis by linear system approach I cimetidine bioavailability and second peak phenomenon. J Pharm Sci 70 32-38 (1981). 

Veng Pedersen, R, Pharmacokinetic analysis by linear system approach, I Cimetidine bioavailability and second peak phenomenon, J. Pharm. Set, 70 32-38, 1981. 

A variety of configurations has been considered,including spheromaks, field-reversed simple mirrors, relativistic ring systems, and field reversed theta pinches. Of these, the latter may be considered a direct descendant of the long linear systems approach indeed, experiments on FR0P date back to the 1960 s. In this method, a quasi-steady bias field is first established in the plasma tube. 

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