Abstract
In work is considered the generalized iterative algorithm of nonlinear adaptive model in distinction of the particular algorithm described in [4]. The functioning of such class of algorithms, so as the class of linear algorithms [5], is determined with state of adaptive identification [6], functioning of statistic modelling system [3], the stochastic properties of identification of plants of metallurgic processes [2]. This algorithm has self-adjusting properties and can successfully function during the identification of complex processing objects with time varying parameters. Some aspects of using such algorithms for identification problems in metallurgy are described.
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