Results 21 to 30 of about 129,225 (287)
Spiking Autoencoders With Temporal Coding
Frontiers in Neuroscience, 2021 Spiking neural networks with temporal coding schemes process information based on the relative timing of neuronal spikes. In supervised learning tasks, temporal coding allows learning through backpropagation with exact derivatives, and achieves ...
Iulia-Maria Comşa +3 more
doaj +1 more source
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks [PDF]
, 2017 Artificial neural networks (ANNs) trained using backpropagation are powerful learning architectures that have achieved state-of-the-art performance in various benchmarks.
Cauwenberghs, Gert +3 more
core +2 more sources
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
core +1 more source
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
core +2 more sources
Gradient Amplification: An Efficient Way to Train Deep Neural Networks
Big Data Mining and Analytics, 2020 Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural ...
Sunitha Basodi +3 more
doaj +1 more source