most citedA Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis

33 citations · 34 across the 2 of their papers we have counts for

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2 papers

eess.SP2019★ 1 cited

A Neural Network Based on the Johnson Translation System and Related Application to Electromyogram Classification

Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji

Electromyogram (EMG) classification is a key technique in EMG-based control systems. The existing EMG classification methods do not consider the characteristics of EMG features tha…

cs.LG2019★ 33 cited

A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis

Hideaki Hayashi, Taro Shibanoki, Keisuke Shima +2

This paper proposes a probabilistic neural network developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-…