An efficient, probabilistic neural network approach to solving inverse problems: Inverting surface wave velocities for Eurasian crustal thickness

1999 ◽  
Vol 104 (B12) ◽  
pp. 28841-28857 ◽  
Author(s):  
R. J. R. Devilee ◽  
A. Curtis ◽  
K. Roy-Chowdhury
Keyword(s):  
Neural Network ◽  
Surface Wave ◽  
Inverse Problems ◽  
Probabilistic Neural Network ◽  
Crustal Thickness ◽  
Network Approach ◽  
Neural Network Approach ◽  
Wave Velocities

scholarly journals Simulation And Auditing Of Network Security Based On Probabilistic Neural Network Approach

2012 ◽  
Vol 3 (1) ◽  
pp. 91-94
Author(s):  
Manoj Patel ◽  
Dr. Maneesh Shrivastava ◽  
Kavita Deshmukh
Keyword(s):  
Neural Network ◽  
Network Security ◽  
Clustering Algorithm ◽  
Probabilistic Neural Network ◽  
Network Approach ◽  
Neural Network Approach ◽  
Mobile Adhoc Network ◽  
Adhoc Network ◽  
Multiple Characteristics ◽  
Simulation Purpose

: Probabilistic Neural Network approach used for mobile adhoc network is more efficient way to estimate the network security. In this paper, we are using an Adhoc On Demand Distance Vector (AODV) protocol based mobile adhoc network. In our Proposed Method we are considering the multiple characteristics of nodes. In this we use all the parameter that is necessary in AODV. For simulation purpose we use the probabilistic neural network approach that gives more efficient and accurate results as comparison to the clustering algorithm in the previous systems was used. The performance of PNN (probabilistic neural network) approach is improved  for identifying the particular attack like as wormholes, black holes  and selfish

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