Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. ... Artificial neural networks are algorithms that can be used to perform nonlinear statistical modeling and provide a new alternative to logistic regression, the most commonly used method for...
www.ncbi.nlm.nih.gov/pubmed/8892489
Advantages of Artificial Neural Networks (ANNs) as alternative modelling technique for data sets showing non-linear relationships using data from a galenical study on a solid dosage form.
www.ncbi.nlm.nih.gov/pubmed/9845773
Artificial neural network applications have recently received considerable attention. ... The major advantages and disadvantages of neural networks in modeling applications are as follows:
www.tfhrc.gov/safety/98133/ch02/body_ch02_05.html
Artificial neural network applications have recently received considerable attention. ... The major advantages and disadvantages of neural networks in modeling applications are as follows:
www.tfhrc.gov/safety/98133/ch02/ch02_05.html
First of all, when we are talking about a neural network, we should more properly say "artificial neural network" (ANN), because that is what we mean most of the time. Biological neural networks are much more complicated than the mathematical models we use for ANNs. ... Other advantages include:
www.doc.ic.ac.uk/~nd/surprise_96/journal/vol1/cs11/arti... www.doc.ic.ac.uk/~nd/surprise_96/journal/vol1/cs11/article1.html
Artificial neural networks (ANN) approach has the following advantages: (a) there is no need to assume an underlying data distribution; (b) neural networks ...
linkinghub.elsevier.com/retrieve/pii/S0022437505000824
Tu J. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996;49:1225-1331. ... Tu J. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996...
citeseer.ist.psu.edu/context/1194496/0
The field called Computational Neuroscience has taken inspiration from both artificial neural networks and neurophysiology, and attempts to put the two together.
www.cs.stir.ac.uk/~lss/NNIntro/InvSlides.html
Neural network - Wikipedia, the free encyclopedia
Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons<sup class="noprint Template-Fact" title="This claim needs references to reliable sources{{...
en.wikipedia.org/wiki/Neural_network
Artificial neural network - Wikipedia, the free encyclopedia
An artificial neural network (ANN) , usually called "neural network" (NN), is a mathematical model or computational model that tries to simulate the structure and/or functional aspects of biological...
en.wikipedia.org/wiki/Artificial_neural_network