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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

Semantic Scholar uses AI to extract papers important to this topic.
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
Day-ahead Base, Intermediate, and Peak Load Forecasting using K-Means and Artificial Neural Networks
Industries depend heavily on the capacity and availability of electric power. A typical load curve has three parts, namely, base… 
2018
2018
Load Forecasting using Autoregressive Integrated Moving Average and Artificial Neural Network
Electric load forecasting is a challenging research problem due to the complicated nature of its dataset involving both linear… 
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… 
Highly Cited
2015
Highly Cited
2015
Encog: library of interchangeable machine learning models for Java and C#
This paper introduces the Encog library for Java and C#, a scalable, adaptable, multiplatform machine learning framework that was… 
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… 
Highly Cited
2014
Highly Cited
2014
ANN Model to Predict Stock Prices at Stock Exchange Markets
Stock exchanges are considered major players in financial sectors of many countries. Most Stockbrokers, who execute stock trade… 
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… 
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… 
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… 
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