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MUME

Name

Multi-Module Neural Computing Environment (MUME)

Source

The software is the product of a number of staff and postgraduate students at the Machine Intelligence Group at Sydney University, Electrical Engineering.

Price

Target usage

It is currently being used in research, research and development and teaching, in ECG and ICEG classification, and speech and image recognition. As such, we are interested in institutions that can exploit the tool (especially in educational courses) and build up on it.

Model

Network Architecture

` MUME is a simulation environment for multi-modules neural computing. It provides an object oriented facility for the simulation and training of multiple nets with various architectures and learning algorithms. MUME can be used for large scale neural network simulations as it provides support for learning in multi-net environments. It also provide pre- and post-processing facilities. The object oriented structure makes simple the addition of new network classes and new learning algorithms. New classes/algorithms can be simply added to the library or compiled into a program at run-time. The interface between classes is performed using Network Service Functions which can be easily created for a new class/algorithm.

Paradigms

MUME includes a library of network architectures including feedforward, simple recurrent, and continuously running recurrent neural networks. Each architecture is supported by a variety of learning algorithms. The architectures and learning algorithms currently available are:

Other general purpose classes include (viewed as nets): DC source, Time delays, Random source, FIFOs and LIFOs, Winner-take-all, X out of Y classifiers. The modules are provided in a library. Several "front-ends" or clients are also available.

Limitations

Implementation

Display

User Interface

Execution

Data Format

Evaluation

Performance

System Requirements

Hardware

Operating System

Display

Language

Installation and Documentation

Installation

Sources available

MUME is made available to research institutions on media/doc/postage cost arrangements. Information on how to acquire it may be obtained by writing (or email) to:

Marwan Jabri SEDAL Sydney University Electrical Engineering NSW 2006 Australia Tel: (+61-2) 692-2240 Fax: 660-1228 Email: marwan@sedal.su.oz.au

Implementation language

The software is written in 'C' and is being used on Sun and DEC workstations. Efforts are underway to port it to the Fujitsu VP2200 vector processor using the VCC vectorising C compiler.

Documentation

Support

User Groups