**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**31203

##### Adaptive Dynamic Time Warping for Variable Structure Pattern Recognition

**Authors:**
S. V. Yendiyarov

**Abstract:**

Pattern discovery from time series is of fundamental importance. Particularly, when information about the structure of a pattern is not complete, an algorithm to discover specific patterns or shapes automatically from the time series data is necessary. The dynamic time warping is a technique that allows local flexibility in aligning time series. Because of this, it is widely used in many fields such as science, medicine, industry, finance and others. However, a major problem of the dynamic time warping is that it is not able to work with structural changes of a pattern. This problem arises when the structure is influenced by noise, which is a common thing in practice for almost every application. This paper addresses this problem by means of developing a novel technique called adaptive dynamic time warping.

**Keywords:**
Pattern Recognition,
Optimal Control,
Dynamic Programming,
dynamic time warping,
quadratic programming,
sintering control

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1088596

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[14] Yendiyarov, S., Zobnin B., Petrushenko S. Expert system for sintering process control based on the information about solid-fuel flow composition // Proceedings of World Academy of Science, Engineering and Technology, France, Issue 68, August 2012, pp. 861-868