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Encog Machine Learning Framework

Encog is a machine learning framework available for Java, .Net, and C++. Encog supports different learning algorithms such as Bayesian Networks… 
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Related topics

Related topics

22 relations
.NET FrameworkADALINEAdaptive resonance theoryArtificial neural network

Broader (1)

Neural network software

Papers overview

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2019
2019
Age estimation based on length of left hand bone in African American children below 18 years old using Artificial Neural Network
Age estimation is used in the field of forensic anthropology’s studies to assists in the identification of individual’s identity… 
2018
2018
Uso de redes neurais artificiais para a detecção das doenças Olho de Boi e Mancha de Sarna em maçãs
Doencas em frutas causam grandes perdas na economia, afetando o rendimento da producao no cenario nacional e mundial. A abordagem… 
2018
2018
Hands-On Neural Network Programming with C#
Create and unleash the power of neural networks by implementing C# and .Net code Key Features Get a strong foundation of neural… 
2015
2015
Training and source code generation for artificial neural networks
The ideas and technology behind artificial neural networks have advanced considerably since their introduction in 1943 by Warren… 
2013
2013
Data-driven modelling of electromagnetic interferences in motor vehicles using intelligent system approaches
This paper addresses the issue of designing and building an intelligent system for automated detection and identification of… 
2012
2012
Extending Encog: a study on classifier ensemble techniques
The goal of this project is to illustrate the creation of additional components for the Encog Java Library, which implement some… 
2011
2011
PEMBUATAN PERANGKAT LUNAK PERAMALAN MENGGUNAKAN METODE ANN DENGAN MEMANFAATKAN LIBRARY ENCOG JAVA
Kondisi perusahaan dapat diketahui melalui data keuangan, penjualan dan produksi (bagi perusahaan manufaktur), selanjutnya… 
2011
2011
Using Elman neural network for software reliability forecasting
In recent years the requirements for the software reliability became highly important. Methods of the reliability theory are… 
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