Neural Network Implementation in Java
| Autor: | Nenad Jovanovic, Zoran Jovanovic, Miloš Cvjetković, Bojan Vasović |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Java
Artificial neural network business.industry Computer science lcsh:HB71-74 java lcsh:Economics as a science General Medicine neural networks prediction Field (computer science) Variety (cybernetics) Software Artificial intelligence business computer artificial neural networks Java Programming Language computer.programming_language neural network training |
| Zdroj: | BizInfo, Vol 11, Iss 1, Pp 19-30 (2020) |
| ISSN: | 2217-2769 2406-2324 |
| Popis: | Artificial neural networks are a powerful tool that engineers can use in variety of purposes. The most common tasks are classification and regression, as well as control, modeling and prediction. For more than three decades, the field of artificial neural networks has been the center of intensive research. A large number of software tools have been developed to train these types of networks, but there is still interest in implementing neural networks in different programming languages. This paper aims to present the implementation of an arbitrary neural network in the Java programming language. |
| Databáze: | OpenAIRE |
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