Recognition Pattern Generation Algorithm for Electroencephalogram-Based Control

Recent Advances in EMG Pattern Recognition for Prosthetic Control

Pattern Recognition in Control Chart Using Neural Network based on a New Statistical Feature

Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural netw...

Wavelet-based Denoising Algorithm for Robust Emg Pattern Recognition

A successful pre-processing stage based on wavelet denoising algorithm for electromyography (EMG) signal recognition is proposed. From the limitation of traditional universal wavelet denoising, the optimal weighted parameter is assigned for universal thresholding method. The optimal weight for increasing EMG recognition accuracy is 50–60% of traditional universal threshold with hard transformat...

Case-based Algorithm for Pattern Recognition and Extrapolation (APRE Method)

The method developed and described in this paper departs from the traditional time series analysis approach. The starting premise is that a time series can be broken down into a number of characteristic cases, each of which potentially holds the key for indicating the value of the subsequent observation. The case that constitutes the beginning of the forecasting horizon (the reference case) is ...

Pattern Language Recognition and Generation

A k-bounded recognizable pattern language is the set of all k-bounded patterns that are obtained as behaviors of a pattern automaton. The emptiness and the equality problems for k-bounded behaviors of pattern automata are proved to be decidable. Moreover, we examine their relationship with context free pattern grammars, which are basically the hyperedge replacement grammars on planar directed a...