… artificial neural network that was initialized and trained using the Nguyen–Widrow method and
… According to the authors’ best knowledge, the use of an artificial neural network to classify …

… In machine learning and data mining, many algorithms have been developed for efficient
clustering. Many VANET clustering techniques are based on machine learning algorithms such …

… most complex problems of ad-hoc networks in a satisfactory … of ad-hoc networks using
bio-inspired Swarm Intelligence (SI)… ACO) technique, a SI technique, for optimal routing in ad-hoc …

… methods and techniques among which the most studied and the most successful is the general
purpose optimization technique … , a description of swarm intelligence approach and ACO …

… apply some of the DAI techniques to the routing problem in the ad-hoc networks. Multi-…
techniques. Moreover, there are some related works that try to use artificial intelligence techniques …

… In systems such as DIDS SnBr], MIDAS SeSh], TIM TeCh] and NSM HeDi], data ltering is
done using heuristic or ad hoc methods, which can be viewed as expert rules for ltering. Other …

… optimization techniques [44]. SI is considered as the subset of artificial intelligence (AI) …
, etc, uses different swarm intelligence techniques for the optimization of different resources […

… different technologies, such as artificial intelligence (AI), virtual … areas, especially in robotics
and artificial intelligence (AI) (C. … This approach brings together the concept of flying ad hoc …

… In this paper we surveyed different machine learning techniques that are used in ad hoc
network to prevent malicious activities and predict the future node as per behavior or past …