scholarly journals Prediction of chilling damage risk in maize growth period based on probabilistic neural network approach

Author(s):  
Chunqiao Mi ◽  
◽  
Changhua Zhao ◽  
Qingyou Deng ◽  
Xiaowu Deng ◽  
...  
2012 ◽  
Vol 3 (1) ◽  
pp. 91-94
Author(s):  
Manoj Patel ◽  
Dr. Maneesh Shrivastava ◽  
Kavita Deshmukh

: 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


Author(s):  
Christian Napoli ◽  
Giuseppe Pappalardo ◽  
Emiliano Tramontana ◽  
Robert K. Nowicki ◽  
Janusz T. Starczewski ◽  
...  

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