Results 31 to 40 of about 145,710 (264)

Analysis of Mismatched Estimation Errors Using Gradients of Partition Functions [PDF]

, 2013
We consider the problem of signal estimation (denoising) from a statistical-mechanical perspective, in continuation to a recent work on the analysis of mean-square error (MSE) estimation using a direct relationship between optimum estimation and certain ...
Huleihel, Wasim, Merhav, Neri
core   +2 more sources

Determination of Optimum Smoothing Constant of Single Exponential Smoothing Method: A Case Study [PDF]

International Journal of Research in Industrial Engineering, 2017
Exponential smoothing is a sophisticated forecasting method that works based on previous forecast plus a percentage of the forecast error. A key issue of this technique is the proper choice of exponential smoothing constant.
C. L. Karmaker
doaj   +1 more source

Elliptical Orbits Mode Application for Approximation of Fuel Volume Change

Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022
This article discusses the Elliptical Orbits Mode (EOM) as a method of approximating the function of changing the volume of fuel in the Underground Yank (UT). This research was conducted at the 45.507.21 Candirejo Tuntang Pertamina Gas Station.
Jovian Dian Pratama, Ratna Herdiana, Susilo Hariyanto   +2 more
doaj   +1 more source

Prediction of abrasive wear and surface hardness of printed parts by SLA technology

Ingenius: Revista de Ciencia y Tecnología
In the present study, a prediction of hardness deterioration and abrasive wear was performed through a neural network using artificial intelligence on a material printed in SLA. This article aims to predict the mechanical properties, wear resistance and
P. Muñoz-Valverde, O. Villena-López, L. Mayorga-Ases, C. Pérez-Salinas, D. Moya   +4 more
doaj   +3 more sources

On the influence of detection tests on deterministic parameters estimation [PDF]

, 2006
In non-linear estimation problems three distinct regions of operation can be observed. In the asymptotic region, the Mean Square Error (MSE) of Maximum Likelihood Estimators (MLE) is small and, in many cases,close to the Cramer-Rao bound (CRB).
Chaumette, Eric, Galy, Jerome, Larzabal, Pascal, Vincent, François   +3 more
core   +2 more sources

Analisis Pengaruh Fungsi Aktivasi, Learning Rate Dan Momentum Dalam Menentukan Mean Square Error (MSE) Pada Jaringan Saraf Restricted Boltzmann Machines (RBM)

JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 2019
<p>Restricted boltzmann machines (RBM) merupakan algoritma pembelajaran jaringan syaraf tanpa pengawaas (<em>unsupervised learning</em>) yang hanya terdiri dari dua lapisan yang <em>visible layer</em> dan <em>hidden layer</em>.
Susilawati Susilawati, Muhathir Muhathir
openaire   +2 more sources

Perlukah Cross Validation dilakukan? Perbandingan antara Mean Square Prediction Error dan Mean Square Error sebagai Penaksir Harapan Kuadrat Kekeliruan Model [PDF]

, 2009
Seleksi model merupakan tahapan terakhir dari suatu analisis regresi. Salah satu pendekatan yang sering dipergunkan adalah cross-validation. Ukuran mean square prediction error (MSPE) dianggap sebagai ukuran yang lebih baik untuk mengevaluasi tingkat ...
Yusep, Suparman
core  

Programmable In‐Situ Interactions Between Resins and Photopolymerized Structures for Seamlessly Integrated Optical Manufacturing of Microlenses

Advanced Functional Materials, EarlyView.
This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim, Sangmin Oh, Kahyun Hur, Hyesung Cho   +3 more
wiley   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source