Instantaneously trained neural networks with complex inputs
Author(s) -
Pritam Rajagopal
Publication year - 2003
Language(s) - Uncategorized
Resource type - Dissertations/theses
DOI - 10.31390/gradschool_theses.3618
Subject(s) - artificial neural network , perceptron , computer science , artificial intelligence , backpropagation , generalization , feed forward , time delay neural network , process (computing) , feedforward neural network , types of artificial neural networks , encoding (memory) , series (stratigraphy) , pattern recognition (psychology) , algorithm , machine learning , engineering , mathematics , mathematical analysis , paleontology , control engineering , biology , operating system
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