• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2003년도 ICCAS
• /
• pp.156-161
• /
• 2003

It is an interest problem to predict substance distributions in three-dimensional space. Recently, a research field as Geostatistics is advanced. It is a kind of inter- or extrapolation mathematically. Some useful means for the inter- and extrapolation are known, in which slide window method with neural networks is hopeful one. We propose multi-dimensional extrapolation using multi-layer neural networks and the slide-window method. The multi-dimensional extrapolation is not similar to one-dimension. It has plural algorithms. We researched line predictors and local-plain predictors I two-dimensional space. The both predictors are equivalent; however, in multi-dimensional extrapolation, it is very important to find the direction of predictions. Especially, since the slide window method requires information to predict the future in sampling data, if they are not ordered appropriately in the direction, the predictor cannot operate. We tested the extrapolation for typical two-dimensional functions, and found an excellent character of slide-window method based on local-plain. By using the method, we can extrapolate the function until twice-outer regions of the definitions.

• 태양에너지
• /
• 제12권2호
• /
• pp.18-27
• /
• 1992

졸-겔 기술에 의해 $WO_3$ 다충박막이 유리와 ITO coated glass 위에 증착되었다. 특성은 XRD, 분광광도계, DTA/TGA, SEM/EDAX 그리고 RBS에 의해서 분석되었다. 균질한 $WO_3$막은 유리기판위에 dipping속도 5mm/s에서 증착 되었으며 이 시료는 희석된 HCI 전해액을 사용하여 착색시킨 결과 낮은 근적외선 투과율을 나타내었다. DTA 결과 $380^{\circ}C{\sim}500^{\circ}C$ 범위의 gel data는 $WO_3$의 결정화 온도 형성을 결정하였으며 이 측정치는 졸-겔 박막의 결정화 온도와 일치하였다. RBS에 의해 착색되지 않은 $WO_3$ 졸-겔 막의 화학조성은 $WO_3$였다.