This is the Windows app named ASPI Kit to run in Windows online over Linux online whose latest release can be downloaded as ASPI_Kit_1.3.rar. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named ASPI Kit to run in Windows online over Linux online with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
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ASPI Kit to run in Windows online over Linux online
DESCRIPTION
# ASPI Kit - Adaptive Identification and Control SoftwareThis software is under development by the ASPICC group.
Its purpose is to allow users to learn and experiment the use of Neural Networks (NN's) and related Computational Intelligence algorithms on their own data.
Users can upload their own data and experiment with various algorithms of various setups to see how the algorithms performs on their data.
Users can also investigate and familiarize themselves with the Python code of the used algorithms.
Features
- Recurrent Linear Neural Units (LNUs)
- Recurrent HONUs (QNU & CNU, r=2, 3)
- Gradient Descent adaptation, Levenberg-Marquardt batch learning
- Adaptive identification and adaptive optimization of a controller of an engineering processes (from process data uploaded by a user).
- Principal Component Analysis and adaptive prediction for multiple-input dynamical system
- New! - User defined reference model for HONU adaptive control
This is an application that can also be fetched from https://sourceforge.net/projects/ackit/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.