Shape recognition
Dynamical Learning in non-stationary environments
Article REF: H3125 V1
Shape recognition
Dynamical Learning in non-stationary environments

Author : Moamar SAYED MOUCHAWEH

Publication date: August 10, 2014 | Lire en français

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1. Shape recognition

A model can be used to predict the reactions or outputs of a real system, such as manufacturing systems, transportation systems, or energy production and distribution systems, in response to specific actions or inputs. The purpose of building a model is to understand the behavior(s) of a real system in order to control it or optimize its performance. Several methods can be used to build a model. When a priori knowledge of the behavior of a real system is not sufficient to build a physical, analytical or mathematical model, Pattern Recognition (PR) methods

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