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A Variational Formulation for the Multilayer Perceptron [PDF]
, 2006 In this work we present a theory of the multilayer perceptron from the perspective of functional analysis and variational calculus. Within this formulation, the learning problem for the multilayer perceptron lies in terms of finding a function which is an extremal for some functional.
Roberto Lopez, Eugenio Oñate
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Multi Layer Perceptron Model for Indoor Positioning System Based on Wi-Fi
Jurnal Teknologi dan Sistem Komputer, 2017 Indoor positioning system issue is an open problem that still needs some improvements. This research explores the utilization of multilayer perceptron in determining someone’s position inside a building or a room, which generally known as Indoor ...
Yuan Lukito
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Multilayer perceptron for face recognition
Lietuvos Matematikos Rinkinys, 2017 In this paper, an algorithm is proposed which uses facial landmarks to calculate normalized Euclidean distances between different facial parts and performs faces recognition by using Multilayer Perceptron.
Ričardas Toliušis, Olga Kurasova
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CLASSIFICATION OF COLOR SATELLITE IMAGES USING COMPUTATIONAL INTELLIGENCE
ICTACT Journal on Image and Video Processing, 2021 The classification of color satellite images is presented using Multilayer Perceptron Neural Network and Support Vector Machine. Multilayer Perceptron is used for non-linear classification with 10 hidden layers using different number of epochs.
Sunita Chib, M Syamala Devi
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On the capabilities of multilayer perceptrons
Journal of Complexity, 1988 What is the smallest multilayer perceptron able to compute arbitrary and random functions? Previous results show that a net with one hidden layer containing N-1 threshold units is capable of implementing an arbitrary dichotomy of N points. A construction is presented here for implementing an arbitrary dichotomy with one hidden layer containing \(\lceil
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IEEE AccessBit-patterned magnetic recording aims to overcome the superparamagnetic limit and achieve higher areal density in magnetic recording, with improved thermal stability and reduced transition noise.
Natthakan Rueangnetr +2 more
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Multilayer Perceptron: Architecture Optimization and Training
International Journal of Interactive Multimedia and Artificial Intelligence, 2016 The multilayer perceptron has a large wide of classification and regression applications in many fields: pattern recognition, voice and classification problems. But the architecture choice has a great impact on the convergence of these networks.
Hassan Ramchoun +3 more
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Optical Power Prediction Method Based on Double Pooling Multilayer Perception
Chengshi guidao jiaotong yanjiuObjective In response to the situation where historical optical power data in metro communication systems is missing despite the sufficient historical related data, an optical power prediction method based on double pooling multilayer perceptron model is
Jing YANG +4 more
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Review and analysis one of the approaches to training the neural network model
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2021 The article provides an overview and analysis one of the approaches to training a neural network model. The list of requirements for training the model was created.
О. Бондар +1 more
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Experimental Analysis of Neural Approaches for Synthetic Angle-of-Attack Estimation
International Journal of Aerospace Engineering, 2021 Synthetic sensors enable flight data estimation without devoted physical sensors. Within modern digital avionics, synthetic sensors can be implemented and used for several purposes such as analytical redundancy or monitoring functions.
Angelo Lerro +3 more
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