NEURObjects is a set of C++ library classes for neural network development, exploiting the potentialities of object-oriented design and programming. The main goal of the library consists in supporting experimental research in neural networks and fast prototyping of inductive machine learning applications. We present NEURObjects design issues, its main functionalities, and programming examples, showing how to map neural network concepts into the design of library classes.

References in zbMATH (referenced in 3 articles , 1 standard article )

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  1. Valentini, Giorgio: An application of low bias bagged SVMs to the classification of heterogeneous malignant tissues. (2003) ioport
  2. Masulli, Francesco; Pardo, Matteo; Sberveglieri, Giorgio; Valentini, Giorgio: Boosting and classification of electronic nose data (2002)
  3. Valentini, Giorgio; Masulli, Francesco: NEURObjects: an object-oriented library for neural network development (2002)