Results 21 to 30 of about 127,617 (265)
Missing Value Imputation With Unsupervised Backpropagation [PDF]
, 2013 Many data mining and data analysis techniques operate on dense matrices or complete tables of data. Real-world data sets, however, often contain unknown values.
Gashler, Michael S. +3 more
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DANTE: Deep AlterNations for Training nEural networks
, 2020 We present DANTE, a novel method for training neural networks using the alternating minimization principle. DANTE provides an alternate perspective to traditional gradient-based backpropagation techniques commonly used to train deep networks. It utilizes
Balasubramanian, Vineeth N +5 more
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Open Physics, 2023 In this study, data fusion algorithm is used to classify the soil species and calibrate the soil humidity sensor, and by using edge computing and a wireless sensor network, farmland environment monitoring system with a two-stage calibration function of ...
Song Tao +5 more
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Backpropagation and the brain [PDF]
Nature Reviews Neuroscience, 2020 During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses are embedded within multilayered networks, making it difficult to determine the effect of an individual synaptic modification on the behaviour of the system. The backpropagation algorithm solves this problem in deep artificial neural networks, but historically it
Timothy P. Lillicrap +4 more
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Learning backward induction: a neural network agent approach [PDF]
, 2009 This paper addresses the question of whether neural networks (NNs), a realistic cognitive model of human information processing, can learn to backward induce in a two-stage game with a unique subgame-perfect Nash equilibrium.
Bastidas Orihuela, Jarol Jorge +1 more
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Identifikasi Citra Batu Mulia dengan Menggunakan Metode Jaringan Saraf Tiruan Backpropagation
Jurnal Eksplora Informatika, 2019 Batuan mulia (gemstone) merupakan salah satu kekayaan alam yang dapat dijadikan perhiasan dan koleksi. Terdapat beberapa jenis batuan seperti ruby, sapphire, zamrud, topaz, kecubung, dan kalimaya.
Meylda Kurnia Emylia Putri
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Jurnal Jaringan Telekomunikasi, 2022 The value of signal attenuation by the resulting weather changes may differ at any time. The collection of signal power data with different times, weather, humidity, rainfall, and temperatures using the drive test method in Malang area will be processed ...
Hudiono Hudiono +2 more
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, 2022 Quaternion valued neural networks experienced rising popularity and interest from researchers in the last years, whereby the derivatives with respect to quaternions needed for optimization are calculated as the sum of the partial derivatives with respect to the real and imaginary parts.
Pöppelbaum, Johannes, Schwung, Andreas
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Implementasi Jaringan Saraf Tiruan Untuk Menentukan Kelayakan Proposal Tugas Akhir
IT Journal Research and Development, 2019 Sebuah Proposal Tugas Akhir (TA) yang diajukan mahasiswa harus diseleksi oleh Ketua Program Studi (KPS) untuk menentukan apakah proposal tersebut layak atau tidak untuk dilanjutkan sebagai salah satu syarat kelulusan, khususnya pada D3 Manajemen ...
Fitri Ayu
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A selective learning method to improve the generalization of multilayer feedforward neural networks. [PDF]
, 2001 Multilayer feedforward neural networks with backpropagation algorithm have been used successfully in many applications. However, the level of generalization is heavily dependent on the quality of the training data.
Aler, Ricardo +3 more
core +3 more sources