Data classification is a process that can categorize data to achieve the relationship between attributes and extract the suitable rules for prediction process. There are different learning methods in machine learning of which each has both advantages and disadvantages. Each type provides a better and interesting position, data and special structure. These methods have differences in the manner ...

The structure of the community is one of the important features of social networks. A community is a sub graph which nodes have a lot of connections to nodes of inside the community and have very few connections to nodes of outside the community. The objective of community detection is to separate groups or communities that are linked more closely. In fact, community detection is the clustering...

In this work we show an alternative form for forecasting trends in time series that behaves stochastically. For this, we are adopting a mathematical approach and treating the time series as the evolution of stochastic cellular automata, and thus, our problem narrows down to find the model for the cellular automata that best describes the behavior of time series. Using machine learning, more spe...

ad hoc mobile networks have dynamic topology with no central management. because of the high mobility of nodes, the network topology may change constantly, so creating a routing with high reliability is one of the major challenges of these networks .in the proposed framework first, by finding directions to the destination and calculating the value of the rout the combination of this value with ...

multi agent markov decision processes (mmdps), as the generalization of markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for multi agent reinforcement learning. in this paper, a generalized learning automata based algorithm for finding optimal policies in mmdp is proposed. in the proposed algorithm, mmdp ...

Parallel Cellular Automata (PCA) previously has been employed for optimizing bi-objective reservoir operation, where one release is used to meet both objectives. However, if a single release can only be used for one objective, meaning two separate sets of releases are needed, the method is not applicable anymore. In this paper, Multi-Step Parallel Cellular Automata (MSPCA) has been developed fo...