The successive method is applicable to such crops as broccoli, cabbage, cauliflower, muskmelon, onion, pea, sweet corn (maize), tomato, and watermelon.
To identify the structure and estimate parameters of the fuzzy model we exploit the methodologies such as joint and successive method realized by means of genetic algorithms.
Each successive method of manufacture imposed its own fingerprint on the finished product, often visible in the nature of the inevitable defects left in the finished sheet.
Here, we present a novel simple and successive method based on chemical reactions in an open reaction system manipulated by an electric field.
Allowing those who are practicing to test different approaches to deal with an event, and then to evaluate the effects can, in the next stage, allow for a new approach to be tested, which supports successive method development.
The same requirements are actually applicable to successive method working with samples obtained by any preservation method, be it FF or FFPE or some other [ 19, 20].
The Sequential Quadratic Programming algorithm and the relatively new Dynamic-Q method are the two successive approximation methods used for the optimisation.
A specifically conceived hybrid numerical method, based on a modified Newton and successive substitution methods, was developed to solve such large and extremely non-linear systems [1].
In Table 1, we compare the results of the bi-variate quasilinearization method (BQLM) to the successive linearization method (SLM) and MATLAB's 'bvp4c' method.
