Results 221 to 230 of about 92,424 (280)
Prediction of compressive strength of concrete based on improved artificial bee colony-multilayer perceptron algorithm. [PDF]
Li P, Zhang Y, Gu J, Duan S.
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ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
Multilayer Perceptron Neural Network Analysis of Fluoroscopic Working Angle on Transcatheter Aortic Valve Implantation Complications. [PDF]
Asif N +9 more
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Corrigendum: Forest stand spectrum reconstruction using spectrum spatial feature gathering and multilayer perceptron. [PDF]
Wang F +6 more
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A commentary on 'The use of multilayer perceptron and radial basis function: an artificial intelligence model to predict progression of oral cancer': correspondence. [PDF]
Muthupandian S, Arockiaraj J, Belete MA.
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Multilayer perceptron for nonlinear programming
Computers and Operations Research, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jaques Reifman, Earl E. Feldman
exaly +3 more sources
Evolving Multilayer Perceptrons
Neural Processing Letters, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pedro Ángel Castillo Valdivieso +5 more
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A hyperbolic multilayer perceptron
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000We present a novel MLP-type neural network based on hyperbolic numbers $the hyperbolic multilayer perceptron (HMLP). The neurons of the HMLP compute 2D-hyperbolic orthogonal transformations as weight propagation functions. The HMLP can therefore be seen as the hyperbolic counterpart of the known complex MLP.
Sven Buchholz 0001, Gerald Sommer
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Adaptive multilayer perceptrons
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003Multilayer perceptrons (MLP) with long- and short-term memories (LASTM) are proposed for adaptive processing. The activation functions of the output neurons of such a network are linear and thus the weights in the last layer affect the outputs of the network linearly and are called linear weights.
James T. Lo, Devasis Bassu
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