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Neural Designer
open-in-new
<h2 id="features">Features</h2> <p>Neural Designer performs <a href="/facts/Descriptive_statistics/vnTP8Ryr">descriptive</a>, diagnostic, <a href="/facts/Predictive_analytics/tbqzk5qe">predictive</a> and <a href="/facts/Prescriptive_analytics/nSRqPaBE">prescriptive</a> data analytics. It implements deep architectures with multiple non-linear layers and contains utilities to solve <a href="/facts/Regression_analysis/n6z5Tf7K">function regression</a>, <a href="/facts/Pattern_recognition/o1s38opj">pattern recognition</a>, <a href="/facts/Time_series/fSXPR817">time series</a> and <a href="/facts/Autoencoder/jnTqhtm9">autoencoding</a> problems. </p><p>The input to Neural Designer is a data set, and its output is a <a href="/facts/Predictive_modelling/VI5ThSKa">predictive model</a>. That result takes the form of an explicit <a href="/facts/Mathematical_expression/MPrMlYbE">mathematical expression</a>, which can be exported to any computer language or system. </p> <h2 id="related-tools">Related tools</h2> <ul><li><a href="/facts/Weka_(machine_learning)/NE2IqoqX">Weka</a>: free <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> and <a href="/facts/Data_mining/AH53q5ac">data mining</a> software.</li> <li><a href="/facts/RapidMiner/F7jGMflS">RapidMiner</a>: free and commercial <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> framework implemented in <a href="/facts/Java_(programming_language)/9ScgFyAL">Java</a>.</li> <li><a href="/facts/KNIME/232lez5G">KNIME</a>: free and commercial <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a> and <a href="/facts/Data_mining/AH53q5ac">data mining</a> software.</li></ul> <h2 id="see-also">See also</h2> <ul><li><a href="/facts/Artificial_intelligence/lJGauQwX">Artificial intelligence</a></li> <li><a href="/facts/Artificial_neural_network/6V1jMlkx">Artificial neural network</a></li> <li><a href="/facts/Comparison_of_deep_learning_software/NJypbDKA">Comparison of deep learning software</a></li> <li><a href="/facts/Data_mining/AH53q5ac">Data mining</a></li> <li><a href="/facts/Deep_learning/JLuwD3ea">Deep learning</a></li> <li><a href="/facts/Machine_learning/e0w0XJTu">Machine learning</a></li> <li><a href="/facts/Predictive_analytics/tbqzk5qe">Predictive analytics</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>"European Commission : CORDIS : Projects and Results : A high performance solution for predictive analytics". European Commission. May 2015. <a href="http://cordis.europa.eu/project/rcn/196466_en.html" target="_blank">http://cordis.europa.eu/project/rcn/196466_en.html</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> </ol>