Abstract
Neural networks are a computational branch of Artificial Intelligence based on the neuronal model of living beings. Currently, neural networks are applied to fields such as control engineering, software engineering, telecommunications, among others. The results of this application have now penetrated homes through household appliances such as televisions, washing machines, and refrigerators that incorporate this technology. Smartphones are a growing technology, and part of current engineering research focuses on how to implement cybernetics, software, and telecommunications in these devices. This article presents the results of implementing a multilayer perceptron neural network on an Android phone, which can recognize the numbers 0 to 9 drawn on the touchscreen.
| Translated title of the contribution | INTRODUCTION TO THE DEVELOPMENT OF MULTILAYER PERCEPTRON NEURAL NETWORKS APPLIED IN ANDROID TECHNOLOGY |
|---|---|
| Original language | Spanish |
| Pages (from-to) | 94-105 |
| Number of pages | 12 |
| Journal | Revista Amazonía Investiga |
| Volume | 2 |
| Issue number | 2 |
| State | Published - 2013 |
| Externally published | Yes |
Keywords
- artificial intelligence
- mobile technology
- paterns recognition
- java
- neuroph
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