All releases of Joone
Release Notes: Performance was improved by 50%, thanks to heavy refactoring of the core engine, by adding the single-thread mode. A set of tools was added in order to hide the complexity of the API. A new Image I/O component has been added in order read and write directly from/to image files. A new SoftMax Layer has been added to build neural networks able to resolve 1 of C classification problems. The usability of the property panels has been improved by adopting a new file chooser panel and a visual calendar panel. Several bugs were fixed and the documentation has been updated with the new features.
Release Notes: This release adds support for the Groovy scripting language. LogarithmicPlugin has been added, to apply a logarithmic transformation (base e) to input data. "Save as XML" has been added to the GUI Editor, in order to permit saving a neural network in XML format. A number of bugs have been fixed, including a problem that prevented SangerSynapse from learning when in training mode. The inspection panel no longer shows the biases for Layers for which this doesn't make sense. This release fixes the lack of the first column when the inspected values were copied in the clipboard.
Release Notes: This release adds many new features, including the Radial Basis Function, a new Input Connector useful to share the same data source between several layers, a new weights' initializing mechanism, new learning algorithms, etc. A lot of bugs have been fixed and the documentation has been improved.
Release Notes: The Distributed Training Environment (DTE) has been completely rewritten. The core framework now has a modular architecture based on plugins, making it easily expandable. The DTE is easily configurable in order to define any complex global optimization technique by using a simple and powerful parameter file written in XML. The new DTE is compliant with the latest Sun Jini 2.0.
Release Notes: This version fixes the 'No matching patterns' problem. The RMSE is not set to 0.0 when a network is deserialized. A NullPointerException was fixed in the YahooFinanceInputSynapse when no input data is present. The BatchLearner has been fixed in order to use the momentum parameter.
Release Notes: A new Resilient Backprop (RPROP) training algorithm was added and the core engine's speed was improved by 35-40%, making performance comparable to a C/C++ framework. It is now possible to set an HTTP proxy for accessing HTTP sources and Yahoo! Finance through firewalls. Several bugfixes and many small enhancements were made.
Release Notes: Several bugs in the NestedNeuralLayer were fixed and more examples were added to the Joone Complete Guide PDF paper.
Release Notes: Many bugs were discovered and fixed. The engine has been decoupled from the logging libraries to be independent from the Log4j library. The IOException "too many open files" on FileOutputSynapse object was fixed. The NestedNeuralLayer now correctly handles the attached I/O components. The XLSInputSynapse now correctly handles sheets containing empty columns/rows. The XLSInputSynapse now correctly handles the sheet name property. The Monitor object now correctly handles the nested Monitor, if present.
Release Notes: A problem in the Mac OS X distribution package was fixed, and some help pages and a missing compiled example's code were added.
Release Notes: KohonenSynapse, WinerTakeAllLayer, and GaussianLayer components were added for building unsupervised SOM networks. Batch and mixed learning modes were added, the documentation was enhanced with a 100 page guide, and several bugs were fixed.
