[jira] Commented: (MAHOUT-383) Investigate possibility of integration with Neuroph neural-net library

["Zoran Sevarac (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAHOUT-383?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12869050#action_12869050 ] 

Zoran Sevarac commented on MAHOUT-383:
--------------------------------------

Just to let you that we've released the Neuroph 2.4 under the Apache 2 licence.
The first integration will be related to https://issues.apache.org/jira/browse/MAHOUT-364 and the way I see it at the moment,  we should provide batch mode learning for backpropagation

Zoran

> Investigate possibility of integration with Neuroph neural-net library
> ----------------------------------------------------------------------
>
>                 Key: MAHOUT-383
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-383
>             Project: Mahout
>          Issue Type: Task
>          Components: Classification
>    Affects Versions: 0.4
>            Reporter: Jake Mannix
>
> The [Neuroph project  | http://sourceforge.net/projects/neuroph/ ] is an open-source (currently LGPL, but voted to change to ASL to accomodate integration with Mahout) ANN library, complete with this feature-set:
> * Supported neural network architectures
> ** Adaline
> ** Perceptron
> ** Multi Layer Perceptron with Backpropagation
> ** Hopfield network
> ** Bidirectional Associative Memory
> ** Kohonen network
> ** Hebbian network
> ** Maxnet
> ** Competitive network
> ** Instar
> ** Outstar
> ** RBF network
> ** Neuro Fuzzy Reasoner
> *Other features
> ** Small number of the essential base classes (only 10) which can be easily reused
> ** Support for supervised and unsupervised learning rules
> ** An easy-to-follow structure and logic.
> ** GUI tool for neural network development easyNeurons
> ** Image recognition support 
> They are interested in integration, so we should look into what we can do to augment Mahout's capabilities with this.

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