S Amari,N Murata,K R Muller et al.
S Amari et al.
A statistical theory for overtraining is proposed. The analysis treats general realizable stochastic neural networks, trained with Kullback-Leibler divergence in the asymptotic case of a large number of training examples. It is shown that t...
Glove-talk II - a neural-network interface which maps gestures to parallel formant speech synthesizer controls [0.03%]
手势控制的发声手套-II：用神经网络映射手势到并行形式合成器控制系统
S S Fels,G E Hinton
S S Fels
Glove-Talk II is a system which translates hand gestures to speech through an adaptive interface. Hand gestures are mapped continuously to ten control parameters of a parallel formant speech synthesizer. The mapping allows the hand to act a...
Cork quality classification system using a unified image processing and fuzzy-neural network methodology [0.03%]
基于统一图像处理和模糊神经网络的软木质量分类系统
J Chang,G Han,J M Valverde et al.
J Chang et al.
Cork is a natural material produced in the Mediterranean countries. Cork stoppers are used to seal wine bottles, Cork stopper quality classification is a practical pattern classification problem. The cork stoppers are grouped into eight cla...
V R de Angulo,C Torras
V R de Angulo
We present a neural-network method to recalibrate automatically a commercial robot after undergoing wear or damage, which works on top of the nominal inverse kinematics embedded in its controller. Our starting point has been the work of Rit...
Dynamic security contingency screening and ranking using neural networks [0.03%]
基于神经网络的动态安全紧急状态筛选与排序方法研究
Y Mansour,E Vaahedi,M A El-Sharkawi
Y Mansour
This paper summarizes BC Hydro's experience in applying neural networks to dynamic security contingency screening and ranking. The idea is to use the information on the prevailing operating condition and directly provide contingency screeni...
Fuzzy neural networks for machine maintenance in mass transit railway system [0.03%]
城市轨道交通系统的机器维护模糊神经网络方法研究
J K Liu,K Y Sin
J K Liu
This paper describes an application of fuzzy knowledge-based neural-network system (FKNNS) being developed by the Hong Kong Mass Transit Railway Corporation (MTRC) for the maintenance of its ticket machines in one of the busiest transit sys...
Characterization of aluminum hydroxide particles from the Bayer process using neural network and Bayesian classifiers [0.03%]
采用人工神经网络和Bayesian分类器表征拜耳法氢氧化铝粒子
A Zaknich
A Zaknich
An automatic process of isolating and characterizing individual aluminum hydroxide particles from the Bayer process in scanning electron microscope gray-scale images of samples is described. It uses image processing algorithms, neural nets ...
G Bloch,F Sirou,V Eustache et al.
G Bloch et al.
The improvement of the performances of a complex production process such as the Sollac hot dip galvanizing line of Florange (France) needs to integrate various approaches, including quality monitoring, diagnosis, control, optimization metho...
Application of neural networks to software quality modeling of a very large telecommunications system [0.03%]
神经网络在大型电信软件质量度量中的应用研究
T M Khoshgoftaar,E B Allen,J P Hudepohl et al.
T M Khoshgoftaar et al.
Society relies on telecommunications to such an extent that telecommunications software must have high reliability. Enhanced measurement for early risk assessment of latent defects (EMERALD) is a joint project of Nortel and Bell Canada for ...
J P Card,D L Sniderman,C Klimasauskas
J P Card
This paper presents results and commentary on using a cascade neural network and a policy-iteration optimization routine to provide suggested process setpoints for recovery from long-term machine drift in a LAM 4520 6-in dielectric etcher. ...