Search Results for "self-contained"

This project now lives at https://github.com/dwvisser/jam-daq-code/ Jam is an easy-to-use self-contained data acquisition and analysis system for VME-based (or CAMAC-based) nuclear physics experiments. Jam has an easy, standard GUI for taking and sorting multi-parameter event-based data into 1-d and 2-d histograms.

...Unlike .csv files, these can be directly opened by Excel and thus provide an excellent way to output large data sets that require further analysis. To see the latest changes, select "Files" and view the README text displayed at the bottom of that pane. IMPORTANT: Major changes are contained in the current SVN source. If you have time please try to use it or the xlslib-package-2.4.0b1.zip archive, and enter bug reports on any problems! Changes: - library specific strings now in their own namespace - iOS Objective-C library - most project files updated (MSVS etc) - C bridge now supports formulas Note: there is a related SF project, libxls, to read Excel files.

This is dedicated to development of a small class for organizing data in both a traditional parent<->child hierarchy and by the functions used to generate child data nodes from parent data. The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py

The Self-Organizing Map Maker for Education and Research. Features include 3D-visualization of the training process, various 2D and 3D map topologies, easy extensibility to additional topologies.

The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.

SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.