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6 projects in result set.
AMOREJ / AMORE++ - Java and C++ AMORE package using an object oriented approach.
Tags: Artificial Neural Network

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-05-13 21:05

ANN - This package provides a feedforward Artificial Neural Network (ANN) optimized by Genetic Algorithm (GA).
Tags: Artificial Neural Network, Machine Learning, C++, Finance, Genetic Algorithms, R
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-12-09 18:43

Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction.
Tags: Artificial Neural Network, Extreme Machine Learning, genetic algorithms, forecasting, support vector regression, prediction

Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-01-22 07:45

Predictive Modelling Markup Language - Export various models as Predictive Modelling Markup Language (PMML).
Tags: Artificial Neural Network, Boost, Classification, Clustering, Machine Learning, R
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-01-28 09:12

RNetLogo - RNetLogo is an interface to the agent-based modelling plattform NetLogo. NL can be embedded into the R environment with headless (no GUI) and interactive GUI mode. It provides functions to load models, execute commands and to get values from reporters.
Tags: agent-based Model, Animal, Artificial Neural Network, Ecology, Economics, Fisheries, R, dynamic systems, individual-based models, individual-based-model, political analysis, population dynamics

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-08-19 15:59

nnetpredint: ANN prediction intervals - The nnetpredint package implements methods of estimating prediction intervals to multi-layer neural networks at certain confidence level. It supports models trained by nnet, neuralnet and RSNNS packages as well as customized weights and nodes input.
Tags: Artificial Neural Network, Prediction Interval, prediction, R
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2015-11-25 09:58

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Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge