Use of neural networks in on-line analysisdoi:10.1007/bf00326601Josef GppertWolfgang RosenstielGoppert, J. and Rosenstiel, W.: 1994, 'Use of neural networks in on-line analysis', Fres. J. Anal. Chem. 349 (5), 367–371.
neural networks learn by repeatedly trying to match the sets of input data to the corresponding output target values. After a sufficient number oflearning iterations, the network creates an internal model that can be used to predict for new...
Erzin Y, Gul T (2013) The use of neural networks for the pre- diction of the settlement of pad footings on cohesionless soils based on standard penetration test. Int J Geomech Eng 5(6):541-564Erzin Y, Gul T (2013) The use of neural networks for the predic- tion of the settlement ...
Use of neural networks to diagnose acute myocardial infarction. I. Methodology We investigated several aspects of using neural networks as a diagnostic tool: the design of an optimal network, the amount of patients' data needed to train the network, the question of training the network optimally ...
The work shows the results obtained in recognition of different types of austenitic steels with an ultrasonic system that provides the necessary data towards two different neural networks. One of the neural networks (RNAU) used as input a vector containing processed data (propagation velocity and ul...
THE USE OF NEURAL NETWORKING AND POLYNOMIAL REGRESSION TO PREDICT THE OUTCOME IN THE CRITICALLY ILL: A COMPARISON WITH APACHE II. 来自 Wolters Kluwer 喜欢 0 阅读量: 10 作者:Rutledge,Robert,Fakhry,Samir 摘要: An abstract is unavailable. This article is available as a PDF only.关键词:...
The use of neural networks to interpret stress wave signals Condition Monitoring and Diagnostic Engineering Management. COMADEN 91: Southampton, United Kingdom, 2–4 Jul. 1991, pp. 36–39. Edited by R.B.K.N. Rao and A.D. Hope. Adam Hilger (1991) - ResearchGateDOI...
This paper is concerned with the use of Neural Network models for the prediction of water quality parameters in rivers. The procedure that should be followed in the development of such models is outlined. Artificial Neural Networks (ANNs) were developed for the prediction of the monthly values of...
We address the use of neural networks for estimating the location of the centroid from the subaperture image. We find that neural networks provide more accurate estimates over a larger dynamic range and with less variance than do the conventional linear centroid estimator. 展开 ...
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows kee