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Artificial Neural Network systems are a group of factual learning models motivated by natural neural systems the focal sensory systems of creatures, specifically the and are utilized to gauge or surmised capacities that can rely on upon a substantial number of inputs and are for the most part obscure. Manufactured neural systems are by and large displayed as frameworks of interconnected "neurons" which send messages to one another. The associations have numeric weights that can be tuned taking into account experience, making neural nets versatile to inputs and fit for learning.
Related Journals of artificial neural networks
Journal of Data Mining in Genomics & Proteomics,Lovotics, Evolving artificial neural networks ,Electric load forecasting using an artificial neural network,Artificial neural network modeling of the rainfall-runoff process,A New Evolutionary System for Evolving Artificial Neural Networks,Short-term load forecasting using an artificial neural network