Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Abstract Wherever we see life, we see different kinds of complex networks, reason why they are studied across various fields of science. Random Boolean Networks (RBNs) form a spe...
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Recently Peer-to-Peer networks (P2P) have gained great attention and popularity. One key challenging aspect in a P2P resource sharing environment is an efficient searching algorit...
Abstract— Many recent deployments of environmental sensor networks have focused on obtaining measurements across large and inhospitable areas. With increasing scale it becomes im...