S Cho,Y Cho,S Yoon
S Cho
The cold rolling mill process in steel works uses stands of rolls to flatten a strip to a desired thickness. The accurate prediction of roll force is essential for product quality. Currently, a suboptimal mathematical model is used. We trai...
Neural networks and traditional time series methods: a synergistic combination in state economic forecasts [0.03%]
神经网络与传统时间序列方法：状态经济预测中的协同组合
J V Hansen,R D Nelson
J V Hansen
Ever since the initial planning for the 1997 Utah legislative session, neural-network forecasting techniques have provided valuable insights for analysts forecasting tax revenues. These revenue estimates are critically important since agenc...
C M Roadknight,G R Balls,G E Mills et al.
C M Roadknight et al.
Artificial neural networks (ANNs) are used to model the interactions that occur between ozone pollution, climatic conditions, and the sensitivity of crops and other plants to ozone. A number of generic methods for analysis and modeling are ...
S G Smith,R Escobedo,M Anderson et al.
S G Smith et al.
We describe a neural information retrieval system (NIRS), now in production within the Boeing Company, which has been developed for the identification and retrieval of engineering designs. Two-dimensional and three-dimensional representatio...
A Khotanzad,R Afkhami-Rohani,T L Lu et al.
A Khotanzad et al.
A key component of the daily operation and planning activities of an electric utility is short-term load forecasting, i.e., the prediction of hourly loads (demand) for the next hour to several days out. The accuracy of such forecasts has si...
J R Dorronsoro,F Ginel,C Sgnchez et al.
J R Dorronsoro et al.
This paper presents an online system for fraud detection of credit card operations based on a neural classifier. Since it is installed in a transactional hub for operation distribution, and not on a card-issuing institution, it acts solely ...
Comments on "Diagonal recurrent neural networks for dynamic systems control". Reproof of theorems 2 and 4 [and reply] [0.03%]
关于“对动态系统控制的对角递归神经网络”的评论及定理2和定理4的更正回复
X Liang,K Y Lee
X Liang
In their original paper, C.-C. Ku and K.Y. Lee (ibid., vol.6, p.144-56, 1995) designed a diagonal recurrent neural network architecture for control systems. Liang asserts that a condition assumed in the proof of its convergence does not nec...
Extended least squares based algorithm for training feedforward networks [0.03%]
基于广义最小二乘法的前馈神经网络训练算法研究
J F Yam,T S Chow
J F Yam
An extended least squares-based algorithm for feedforward networks is proposed. The weights connecting the last hidden and output layers are first evaluated by least squares algorithm. The weights between input and hidden layers are then ev...
Y Xia
Y Xia
A neural network for solving extended linear programming problems is presented and is shown to be globally convergent to exact solutions. The proposed neural network only uses simple hardware in which no analog multiplier for variables is r...