. Novel Neural Network Scheme Composed of Prediction and Correlations

被引：0

作者：

Takizawa, Yumi ^{[1
]}

Fukasawa, Atsushi ^{[2
]}

机构：

[1] Inst Stat Math, Minato Ku, 4-6-7 Minami Azabu, Tokyo 1068569, Japan

[2] Res Org Informat & Syst, Minato Ku, Tokyo 1068569, Japan

来源：

PROCEEDINGS OF THE 13TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS: RECENT ADVANCES IN SYSTEMS | 2009年

关键词：

neuron network; time-space data processing; prediction; identification of source location;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes novel neural network scheme to minimize errors of prediction between observation and estimation. This scheme is discriminated from the conventional principle of learning methods. The proposed scheme is applied for the problem of time-space analysis of multiple sound source locations. The number of source are assumed 8 sound in a frame of 5 (s), and space size of sensors are 1 (km) squared. The proposed scheme is proved with well coincidence of locations between correct and estimated positions.

引用

页码：611 / +

页数：2

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