Name
Title | ||
|---|---|---|
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests |
Abstract | ||
|---|---|---|
In this paper, we focus on the experimental analysis on the performance in artificial neural networks with the use of statistical tests on the classification task. Particularly, we have studied whether the sample of results from multiple trials obtained by conventional artificial neural networks and support vector machines checks the necessary conditions for being analyzed through parametrical tests. The study is conducted by considering three possibilities on classification experiments: random variation in the selection of test data, the selection of training data and internal randomness in the learning algorithm. The results obtained state that the fulfillment of these conditions are problem-dependent and indefinite, which justifies the need of using non-parametric statistics in the experimental analysis. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.eswa.2008.11.041 | Expert Syst. Appl. |
Keywords | Field | DocType |
parametric test condition,multi-layer perceptron,conventional artificial neural network,neural networks,test data,support vector machines,classification experiment,artificial neural network,learning vector quantization,training data,classification task,classification,statistical test,multiple trial,neural networks statistical tests radial basis function networks multi-layer perceptron support vector machines learning vector quantization classification,statistical tests,necessary condition,experimental analysis,internal randomness,radial basis function networks,non-parametric test,neural network,non parametric statistics,multi layer perceptron,support vector machine,radial basis function network | Data mining,Computer science,Learning vector quantization,Time delay neural network,Types of artificial neural networks,Artificial intelligence,Test data,Deep learning,Artificial neural network,Perceptron,Statistical hypothesis testing,Machine learning | Journal |
Volume | Issue | ISSN |
36 | 4 | Expert Systems With Applications |
Citations | PageRank | References |
34 | 1.13 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julian Luengo | 1 | 2418 | 77.15 |
| Salvador García | 2 | 1219 | 34.57 |
| Francisco Herrera | 3 | 27391 | 1168.49 |