Performance Improvement of Artificial Neural Networks by Addressing Class Overlapping Problem

Author(s):  
Sankhadeep Chatterjee ◽  
Asit Kumar Das ◽  
Kushankur Ghosh ◽  
Arghasree Banerjee ◽  
Mayukh Bhattacharjee ◽  
...  
2021 ◽  
Author(s):  
Pierpaolo Distefano ◽  
David J. Peres ◽  
Pietro Scandura ◽  
Antonino Cancelliere

Abstract. In this communication we show how the use of artificial neural networks (ANNs) can improve the performance of the rainfall thresholds for landslide early warning. Results for Sicily (Italy), show how performance of a traditional rainfall event duration and depth power law threshold, yielding a true skill statistic (TSS) of 0.50, can be improved by ANNs (TSS = 0.59). Then we show how ANNs allow to easily add other variables, like peak rainfall intensity, with a further performance improvement (TSS = 0.64). This may stimulate more research on the use of this powerful tool for deriving landslide early warning thresholds.


1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner

Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  

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