Regional Short-Term Earthquake Prediction Model Based on BP Neural Network

2012 ◽  
Vol 166-169 ◽  
pp. 2309-2314
Author(s):  
Wu Sheng Hu ◽  
Hao Wang ◽  
Hong Lin Nie
Keyword(s):  
Neural Network ◽  
Linear Regression ◽  
Prediction Model ◽  
Earthquake Prediction ◽  
Linear Regression Analysis ◽  
Earthquake Magnitude ◽  
Quantitative Prediction ◽  
Earthquake Parameters ◽  
Advantages And Disadvantages ◽  
Model Based

A method which gives the quantitative prediction for earthquake magnitude is proposed in this paper. By this method, after calculating the earthquake parameters and the astronomical time-varying parameters, an earthquake prediction model can be established to gives the quantitative prediction for earthquake magnitude in the future prediction period. In this research, the research object was the experimental areas, the prediction period was 6 months, and Linear Regression analysis and conventional BP (Back Propagation) Neural Network were used respectively in prediction. Through backtracking test, the RMSEs(root mean square error) of earthquake magnitude prediction are ±0.78 ML and ±0.61 ML. Then after summarizing the advantages and disadvantages of the two methods, an integrated model based on linear regression and neural network was proposed. Through backtracking test, the RMSE of earthquake magnitude prediction reaches ± 0.41 ML, results improving significantly.

Interaction entre le débit et les populations de tacons (Salmo salar) de la rivière Matamec, Québec

1984 ◽  
Vol 41 (6) ◽  
pp. 954-963 ◽  
Author(s):  
M. Frenette ◽  
M. Caron ◽  
P. Julien ◽  
R. J. Gibson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Prediction Model ◽  
Salmo Salar ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Population Estimates ◽  
Limiting Factor ◽  
First Year ◽  
North Shore

Given the hypothesis that in a river, the population of young salmon (Salmo salar), called parr after the first year, is directly related to the discharge-variable physical characteristics of the habitats, a multiple linear regression analysis was carried out between the parr population estimates in the Matamec River (north shore of the Gulf of St. Lawrence) and the minimum, average, and maximum discharges for monthly and seasonal periods. The most significative variables were obtained for the minimum discharge before flooding (around April), the average August discharge of the year before last (2 yr before), and the average July discharge of the previous year. These discharges corresponded to critical biological periods for the young salmon present in the river and were used to develop a prediction model that was loaded with data covering the period 1971–77. The predictions obtained were 95% significant when the three independant parameters were used jointly and reached more than 66% when only one parameter was taken into account. Overall, it is shown that the discharge is an important limiting factor directly influencing salmon survival in streams.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

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