Computational Intelligence Packages (CIP) for Mathematica [Softwarecode, Version 3.0]

  • CIP is an open-source high-level function library for (non-linear) curve fitting and data smoothing (with cubic splines), clustering (k-medoids, ART-2a) and machine learning (multiple linear/polynomial regression, feed-forward perceptron-type shallow and deep neural networks and support vector machines). In addition it provides several heuristics for the selection of training and test data or methods to estimate the relevance of data input components. CIP is built on top of the computing platform Mathematica to exploit its algorithmic and graphical capabilities.

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Metadaten
Author:Achim Zielesny
URL:https://github.com/zielesny/CIP
Document Type:Other
Language:English
Date of Publication (online):2018/12/20
Year of first Publication:2018
Publishing Institution:Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen
Release Date:2019/01/14
Institutes:Institute / Westfälisches Institut für Gesundheit
Licence (German):Es gilt das Urheberrechtsgesetz
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