An Alternative Approach Based on Artificial Neural Networks to Study Controlled Drug Release

2004 ◽  
Vol 93 (2) ◽  
pp. 418-430 ◽  
Author(s):  
Marcus A.A. Reis ◽  
Rubén D. Sinisterra ◽  
Jadson C. Belchior
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Drug Release ◽  
Controlled Drug Release ◽  
Alternative Approach ◽  
Artificial Neural

Artificial neural networks as an alternative approach to groundwater numerical modelling and environmental design

2008 ◽  
Vol 22 (17) ◽  
pp. 3337-3348 ◽  
Author(s):  
Ioannis K. Nikolos ◽  
Maria Stergiadi ◽  
Maria P. Papadopoulou ◽  
George P. Karatzas
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Numerical Modelling ◽  
Environmental Design ◽  
Alternative Approach ◽  
Artificial Neural

scholarly journals Artificial Neural Networks in Cardiology: Analysis of Numerical and Text Data

2020 ◽  
Vol 15 (1) ◽  
pp. 40-56
Author(s):  
P.S. Onishchenko ◽  
K.Y. Klyshnikov ◽  
E.A. Ovcharenko
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Text Data ◽  
Data Application ◽  
Alternative Approach ◽  
Textual Data ◽  
Artificial Neural ◽  
Prediction Systems ◽  
Network Technologies ◽  
Attending Physician

This review discusses works on the use of artificial neural networks for processing numerical and textual data. Application of a number of widely used approaches is considered, such as decision support systems; prediction systems, providing forecasts of outcomes of various methods of treatment of cardiovascular diseases, and risk assessment systems. The possibility of using artificial neural networks as an alternative approach to standard methods for processing patient clinical data has been shown. The use of neural network technologies in the creation of automated assistants to the attending physician will make it possible to provide medical services better and more efficiently.

Artificial Neural Networks for Predicting Noise from Construction Sites

1997 ◽  
Vol 4 (3) ◽  
pp. 211-221 ◽  
Author(s):  
A.H. Boussabaine
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Work Force ◽  
Prediction Methods ◽  
Noise Prediction ◽  
Construction Sites ◽  
Standard Methods ◽  
Alternative Approach ◽  
Noise Assessment ◽  
Artificial Neural

Exposure of populations to noise at their workplace and at home is a major concern for academia and industry. This concern has resulted in a number of standards for predicting the level of noise and studying the adverse noise-induced effect on the health of the work force. Among these standards is the assessment of noise for open construction sites. Current British Standard methods for noise assessment are limited in their application. The paper explains the need for noise prediction and demonstrates the limitation of the existing methods. A background introduction to Artificial Neural Networks (ANN) methods with a methodology for developing ANN applications is provided. ANN is proposed as an alternative approach to construction noise prediction methods. A model for construction noise prediction is presented and its structure is described.

Application of artificial neural networks (ANNs) and genetic programming (GP) for prediction of drug release from solid lipid matrices

2012 ◽  
Vol 436 (1-2) ◽  
pp. 877-879 ◽  
Author(s):  
Sinan Güres ◽  
Aleksander Mendyk ◽  
Renata Jachowicz ◽  
Przemysław Dorożyński ◽  
Peter Kleinebudde
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Drug Release ◽  
Genetic Programming ◽  
Solid Lipid ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document