Self-Organized Feature Maps (SOFM) are unsupervised artificial neural networks that were used to build fuzzy MEMEBERSHIP function.
Modeling Neutrosophic Data by Self-Organizing Feature Map
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The unique characteristics of MANET give an adversary the opportunity to launch numerous attacks against ad-hoc networks [1]. Security in Mobile Ad Hoc Network ...
This paper is concerned by the preprocessing phase of the neutrosophic knowledge discovery system. Converting the regular data to neutrosophic values is a ...
This research proposes a MANETs attack inference by a hybrid framework of Self-Organized Features Maps (SOFM) and the genetic algorithms (GA) that utilizes ...
Modeling neutrosophic data by self-organizing feature map: MANETs data case study. Procedia computer science, 121, 152-159, 2017. [7] Salama, A. A., Eisa, M ...
Jan 1, 2018 · [14] Haitham Elwahsh, Mona Gamal, A. A. Salama, Modeling Neutrosophic Data by Self-Organizing Feature Map: MANETs Data Case Study, Procedia ...
Gamal, A. A. Salama, I. M. El-Henawy, Modeling neutrosophic data by self-organizing feature map: MANETs data case study. Procedia computer science, Vol121, pp.
[12] Haitham Elwahsh, Mona Gamal, A. A. Salama, Modeling Neutrosophic Data by Self-Organizing Feature Map: MANETs Data Case Study, Procedia Computer. Science ...
Modeling Neutrosophic Data by Self-Organizing Feature Map: MANETs Data Case Study. Article · Jan 2017 ; Neutrosophic Sets and Systems. Book · Sep 2018.
Modeling Neutrosophic Data by Self-Organizing Feature Map: MANETs Data Case Study. IMEH Haitham ELwahsh, Mona Gamal, A. A. Salama. Procedia Computer Science ...