Speaker Verification Model Using Short-Time Fourier Transform and Recurrent Neural Network

– Search through the space of possible network weights, iteratively reducing the error E between the training example target values and the network outputs...

– An artificial neural network that fits the training examples, biased by the domain theory. Create an artificial neural network that perfectly fits the domain theory

Pedrycz, “A design of genetically oriented linguistic model with the aid of fuzzy granulation”, IEEE International Conference on Fuzzy

Na, Prediction of Hydrogen Concentration in Nuclear Power Plant Containment under Severe Accidents using Cascaded Fuzzy Neural Networks, Nuclear Engineering

시간에 종속되는 통행 속도의 특 성을 반영하기 위해 적용되었던 시계열 분석 기법인 Autoregressive Integrated Moving Average(ARIMA)와 순환 신경망(Recurrent

음성에 의한 개인식별이란 사람의 음성으로 사람을 구분하는 것으로 학문적으로는 화자인식 (Speaker Recognition)이라 하며 화자식별(Speaker

Human Actions Tracking and Recogni tion Based on Body Parts Detection via Artificial Neural Network.. ○ 인공 신경망 ->

Human Actions Tracking and Recogni tion Based on Body Parts Detection via Artificial Neural Network.. ○ 인공 신경망 ->