Downloads

 Disclaimer. All software simulators available here are free only for non-commercial use. They must not be distributed without prior permission of the authors. The authors are not responsible for implications from the use of this software.

·          Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) - MATLAB Simulator. MLMVN is a powerful machine learning tool, which significantly outperforms many other machine learning techniques in terms of learning speed and generalization capability. It is presented in detail in [1], [2]. Its further development utilizes Soft Margins learning technique (MLMVN-SM) and it is presented in detail in [3], [4]. Soft margins are used there to get a higher accuracy when solving classification problems. This simulator supports both standard MLMVN and MLMVN-SM as well as it can be used for testing. There is Matlab function designed without using any special toolbox. This software simulates a network with either continuous or discrete inputs and with either continuous or discrete output (outputs). Thus, it can be used for solving both classification and regression problems. It is important to say that it is especially efficient in solving multi-class classification problems where the number of classes is larger than two. The Winzip archive (67 Kb) with the function, a quasi-manual and some supportive programs and materials is available HERE.

When using this software, please, refer to this webpage (http://www.freewebs.com/igora/Downloads.htm) and publications [1], [3] in your corresponding publications and presentations.

 

·          Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) - Executable Files. This network, which significantly outperforms many other machine learning techniques in terms of learning speed and generalization capability, is presented in detail in [1], [2] There are two exe-files for Windows 8/7/Vista/XP operating systems, a Matlab-file for converting continuous data in the format appropriate for MLMVN, its software simulator and a brief user's manual that are winzipped in a single archive. One of the exe-files should be used for learning and another one for testing. This software simulates a network with either continuous or discrete inputs and with a discrete output (outputs). Thus, it can be used for solving classifications problems. It is important to say that it is especially efficient in solving multi-class classification problems where the number of classes is larger than two. The Winzip archive (1.5 Mb) is available HERE. Many thanks to Dr. Dmitriy Paliy for his important contribution to the software design.

When using this software, please, refer to this webpage (http://www.freewebs.com/igora/Downloads.htm) and publications [1], [2] in your corresponding publications and presentations.

           

·          Multilayer Neural Network based on Multi-Valued Neurons with Soft Margins Learning (MLMVN-SM) - Executable Files. MLMVN with Soft Margins learning (MLMVN-SM) is a further development of MLMVN. MLMVN-SM is presented in detail in [3], [4]. Soft margins are used there to get a higher accuracy when solving classification problems. There are two exe-files for Windows 8/7/Vista/XP operating systems, a Matlab-file for converting continuous data in the format appropriate for MLMVN, MLMVN-SM software simulator and a brief user's manual that are winzipped in a single archive. One of the exe-files should be used for learning and another one for testing. This software simulates a network with either continuous or discrete inputs and with a discrete output (outputs). Thus, it can be used for solving classifications problems. It is important to say that it is especially efficient in solving multi-class classification problems where the number of classes is larger than two. The Winzip archive (1.5 Mb) is available HERE. Many thanks to Dr. Dmitriy Paliy for his important contribution to the software design.

When using this software, please, refer to this webpage (http://www.freewebs.com/igora/Downloads.htm) and publications [3], [4] in your corresponding publications and presentations.

 

 Rohan GPU-Accelerated Neural Network Simulator - Executable Files.

 This software for Windows 7/Vista/XP operating systems requires NVIDIA chipsets of FERMI revision or better with Compute Capability 2.1+. This application also simulates a network with either continuous or discrete inputs, solves multiple-class classifications, and approximates funtcional mappings, but utilizes parallel GPU architecture and an improved backpropagation algorithm for superior performance.

Rohan remains under advancement by the original author as of Fall 2012, and support is available from jwilson@clueland.com; please put "ROHAN" in the subject.

Basic instructions for the operation of Rohan are HERE.

The Winzip archive (1.2 Mb) for the batch-driven simulator is available HERE.

A lightweight Visual Basic front-end GUI with file managment can be installed from HERE.