The present paper presents the use of ANN (Artifical Neural Networks) in NPC (Non-Player Character) decisionmaking process in RPG (Role-Playing Games) electronic games. It mainly focus on the making of decision of attacking or not a certain opponent by analyzing the NPC and its opponent internal state. Keywordsgames; artifical neural networks; decision-making process; NPC

today one of the most important problems in agriclimatology in effecting of climate on products. one of the climate elements in freezing which according to the continuity , extend and amount of it on agricultural activities ,transportation and invironment has a lot of affections. least temperature forcasts as one of the important climatic elements to forcasting late coldness and freezing in spr...

in this paper, an attempt has been made to introduce a new control strategy including plug-in hybrid electric vehicle (phev) and diesel engine generator to control the voltage and frequency of autonomous microgrids. the proposed control strategy has multiple advantages over the recent control methods in microgrids. the proposed method applies the primary and secondary frequency control strategy...

In this paper, a new method was developed for initialising artificial neural networks predicting dynamics of time series. Initial weighting coefficients were determined for neurons analogously to the case of a linear prediction filter. Moreover, to improve the accuracy of the initialization method for a multilayer neural network, some variants of decomposition of the transformation matrix corre...

Neural networks are a relatively new development in computer science, having survived a brush with the exclusive-or problem while the field was still in its teens in the 1960s and recovered for a renaissance in the 1980s. Chaos is a new mathematical theory, dating back to perhaps the 1960s at the earliest and blooming only in the 1980s. The intersection of chaos with neurobiology dates back per...

DOWNLOAD http://bit.ly/1OslRBc Artificial neural networks: theory and applications This comprehensive tutorial on artifical neural networks covers all the important neural network architectures as well as the most recent theory-e.g., pattern recognition, statistical theory, and other mathematical prerequisites. A broad range of applications is provided for each of the architectures. Artificial ...