Abstract
The system MiND (Multipurpose integrated Neural Device) is a tool for the development of artificial neural network applications which integrates hardware and software components. It includes a PCI neuro-board with up to four SAND (Simple Applicable Neural Device) neuro-chips. The neuro-board accelerates feedforward networks, Radial-Basis-Function networks, and Kohonen feature maps. There are several simple to use software layers for exploiting the neuro-board. At the bottom, there is the driver's C interface. Secondly, a number of C++ network classes are built on the C-drivers. Thirdly, comfortable simulators with graphical interfaces base on the C++ classes. These stein from a pool of “predefined” simulators provided by the MiND system. Each simulator is constituted by a network definition written in the neural network description language CONNECT, and by an interface definition script. The interface definition is based on a C++ network class generated from the CONNECT definition, and on abstract graphical user interface classes. A user can develop own network or interface definitions. Also, the C++ network classes can be exported for integration into custom applications.
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© 1997 Springer-Verlag Berlin Heidelberg
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Fischer, T., Eppler, W., Gemmeke, H., Kock, G., Becher, T. (1997). The SAND neurochip and its embedding in the MiND system. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020320
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DOI: https://doi.org/10.1007/BFb0020320
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