Title :
An analog local cluster neural net for a 3 V supply
Author :
Körner, Tim ; Sitte, Joaquin ; Rückert, Ulrich
Author_Institution :
Heinz Nixforf Inst., Paderborn Univ., Germany
Abstract :
The local cluster neural net (LC net) is a feedfoward net suitable for continuous function approximation and discrete classification tasks. All operations of the LC net can be realized in analog circuits. Therefore we implemented the LC net in analog VLSI hardware for a 3 V power supply. Main applications of the LC net are control tasks in autonomous systems that can be battery powered. In this paper we describe the CMOS VLSI realization and present the results of the comprehensive test measurement for characterising the performance of the implementation
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; feedforward neural nets; function approximation; integrated circuit noise; low-power electronics; neural chips; parallel processing; 3 V; CMOS VLSI realization; analog VLSI hardware; analog circuits; analog local cluster neural net; autonomous systems; battery powered application; continuous function approximation; control tasks; discrete classification tasks; feedfoward net; performance evaluation; test measurement; Analog circuits; Analog computers; Circuit testing; Concurrent computing; Control systems; Function approximation; Information technology; Neural networks; Parallel processing; Very large scale integration;
Conference_Titel :
Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, 1999. MicroNeuro '99. Proceedings of the Seventh International Conference on
Conference_Location :
Granada
Print_ISBN :
0-7695-0043-9
DOI :
10.1109/MN.1999.758877
