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Spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification
European Journal of Remote Sensing, 2022 This paper proposes a novel spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification. Current deep learning-based methods have limitations in spectral and spatial feature representation of hyperspectral images ...
Xiong Tan, Zhixiang Xue
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Similarity-Based Virtual Screen Using Enhanced Siamese Multi-Layer Perceptron [PDF]
Molecules, 2021 Traditional drug development is a slow and costly process that leads to the production of new drugs. Virtual screening (VS) is a computational procedure that measures the similarity of molecules as one of its primary tasks.
Mohammed Khaldoon Altalib, Naomie Salim
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Modifications of the Multi-Layer Perceptron for Hyperspectral Image Classification
Remote Sensing, 2021 Recently, many convolutional neural network (CNN)-based methods have been proposed to tackle the classification task of hyperspectral images (HSI). In fact, CNN has become the de-facto standard for HSI classification. It seems that the traditional neural
Xin He, Yushi Chen
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fMRI-Based Alzheimer's Disease Detection Using the SAS Method with Multi-Layer Perceptron Network. [PDF]
Brain Sci, 2023 Chelladurai A +3 more
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Diagnostyka, 2021 Installations and the detection of their faults has become a major challenge. In order to develop a reliable approach for monitoring and diagnosis faults of these components, a test rig was mounted.
Khoualdia Tarek +4 more
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Multi Layer Perceptron Modelling in the Housing Market
Malaysian Management Journal, 2020 The study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt.
Ku Ruhana Ku Mahamud +2 more
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Energy Exploration & Exploitation, 2023 Since cooling and heating loads are recognized as key characteristics for evaluating the energy efficiency of buildings, it appears indisputable that they must be predicted and analyzed for residential structures.
Zhongzhen Yan +6 more
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DETECTING WATER BODIES IN LANDSAT8 OLI IMAGE USING DEEP LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Water body identifying is critical to climate change, water resources, ecosystem service and hydrological cycle. Multi-layer perceptron(MLP) is the popular and classic method under deep learning framework to detect target and classify image.
W. Jiang +9 more
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Multi-Layer Perceptron-Based Forecasting Model of Biomass and Coal Gasification [PDF]
Advances in Engineering and Intelligence Systems, 2022 In the present work, the multi-layer perceptron neural network is applied to model biomass gasification in the fixed-bed downdraft gasifier. Therefore, the multi-layer perceptron neural network is implemented to analyze and predict the gas composition in
Nikolaieva Oksana
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Multi-layer perceptrons with discrete weights [PDF]
1990 IJCNN International Joint Conference on Neural Networks, 1990 The feasibility of restricting the weight values in multilayer perceptrons to powers of two or sums of powers of two is studied. Multipliers could be thus replaced by shifters and adders on digital hardware, saving both time and chip area, under the assumption that the neuron activation function is computed through a lookup table (LUT) and that a LUT ...
MARCHESI M +4 more
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