The NeuroDeveloper (R): a tool for modular neural classification of spectroscopic data
The NeuroDeveloper(R) is a high-performance software tool for the classification of spectroscopic data using artificial neural networks (ANNs). The software consists of four specialized modules, each constructed for one step within the classification procedure. The FeatureDeveloper offers a user-friendly visualization of the raw-spectra, uni- or multivariate methods for wavelength selection and compression, as well as standard tools for spectra preprocessing. The NeuroSimulator performs the neural network training. The identification of a suited network architecture is supported by an automation tool. The development of modular and hierarchically organized neural networks of any degree of complexity is done in the ModuleDeveloper. Finally, the evaluation of new data by trained ANNs is achieved by the Classification module with a complete documentation via printout and log-files. (C) 2003 Elsevier Science B.V. All rights reserved.
classification spectroscopic data neural networks modular anns feature selection