A new library to combine artificial neural networks and support vector machines with statistics and a database engine for application in environmental modeling
作者： Ralf Wieland , Wilfried Mirschel , Bernd Zbell , Karin Groth , Alison Pechenick
DOI: 10.1016/J.ENVSOFT.2009.11.006
关键词: Data mining 、 Machine learning 、 Support vector machine 、 Data management 、 Software 、 Software development 、 Artificial intelligence 、 Computation 、 Artificial neural network 、 Graphical user interface 、 Database engine 、 Computer science
摘要: SADATO (SAMT DAta TOol) is an open source software library presenting new possibilities in modeling based on artificial neural networks and support vector machines. The main advantage of its central data management Sqlite3 or MySQL the statistical functions inherited from APOPHENIA software. can be used for as well large simulations. Modeling demonstrated with two examples use simulation supported by very high computation speed. highly aggregated keep simple easy to maintain. This allows scientist experienced development access all methods provided SADATO. Additionally, easy-to-use graphical user interface was developed scientists developing models without any special knowledge computer science.
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