文档介绍：FPGA BASED STATISTICAL DATA MINING
PROCESSOR
Eros Pasero, Walter Moniaci, Tassilo Mendl
Polytechnic of Turin,Neuronica Laboratory, INFN sez. di Torino, Corso Duca degli Abruzzi
24,10129 Torino,Italy
Abstract: The goal of this project is to realize an enhanced data mining system which
performs intelligent processing on data received from sensorial agents in a very
flexible manner with reusability prospective. The project is implemented through
a “digital core” constituted of a FPGA, a microcontroller and several memory
blocks which co-operate to putation. The FPGA is programmed in VHDL
to implement the data mining process. The data mining system posed of a
sophisticated statistical non parametric part and a recurrent artificial neural
network. The core was written in a recursive manner to permit the
reconfigurability of work and its reusability to all the systems which can
be modeled through a similar system.
Keywords: data mining; fpga; work; Parzen method.
1. Introduction
The target is a platform for fast data processing, which can be easily
reused for other applications by changing only some parameters and
reprogramming the FPGA. All other function for the control and the
management of the data-path, external interfaces and control unit features
will be done by the micro-processor. However, for performance reasons it
might be n