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General Information
- Name
- AUTONET
- Source
-
Peak Software Corporation
- Price
- $ 395
- Target usage
-
Model
- Network Architecture
-
fixed: each neuron in each layer is connected to two neurons
in the previous layer, output of it is a square function of
inputs. One neuron of the last layer is selected for ourput.
The network is generated automatically, the user has no control
over the network generation.
- Paradigms
-
- Limitations
-
150 or fewer tupels of input data with a maximum of 24 input variables.
network type fixed (see above).
number of nodes and number of connections limited by DOS memory (640k)
Implementation
- Display
-
topology of the network,
values of units / link parameters, current status,
progress in learning, memory usage, ...
- User Interface
-
Menues
- Execution
-
interactive (menue driven)
save / restore state (weights) possible.
no debugging.
- Data Format
-
ASCII, data types: input is floating point vector, output is
floating point scalar.
No compression or encoding possible.
- Evaluation
-
graphics, statistics
no interface to benchmarks
- Performance
-
use of resources: uses the whole PC, math co--processor recommended.
System Requirements
- Hardware
-
PC
math co-processor recomended
- Operating System
-
DOS
- Display
-
color, EGA
- Language
-
Installation and Documentation
- Installation
-
executable
- Sources available
-
- Implementation language
-
- Documentation
-
manual, examples
- Support
-
phone help line
- User Groups
-