2005/05/10 by Nitin Malik, Malik, Nitin · 29 citations
Computer Science · Engineering · Neuroscience · Psychology · #Artificial intelligence #Artificial neural network #Cognitive science #Computer science #Construct (python library) #Energy Load and Power Forecasting #FOS: Computer and information sciences #Imitation #Machine learning #Nervous system network models #Neural Networks Stability and Synchronization #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neuroscience #Psychology #Recurrent neural network #Types of artificial neural networks #Variety (cybernetics) #cs.NE
paper · pdf · doi:10.48550/arxiv.cs/0505019
published in arXiv (Cornell University) (Cornell University) · 6 pages, 2 figures, 1 table
arxiv created 2005/05/10 · openalex publication_date 2005/05/10 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The Artificial Neural network is a functional imitation of simplified model of the biological neurons and their goal is to construct useful computers for real world problems. The ANN applications have increased dramatically in the last few years fired by both theoretical and practical applications in a wide variety of applications. A brief theory of ANN is presented and potential areas are identified and future trends are discussed.