Results 61 to 70 of about 853,385 (276)
Pendekatan Artificial Neural Network (Ann) Untuk Mengklasifikasikan Hewan Vetebrata Menggunakan Kohonen Self Organizing Map (Som) [PDF]
, 2013 This research was proposes an approach to identifying vertebrates or invertebrates that premises Kohonen Self Organizing Map (SOM). SOM is one of the topology of the Artificial Neural Network (ANN).The network will be trained to classify five kinds of ...
Tursina, T. (Tursina)
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Advanced Functional Materials, EarlyView.Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR
Acta Polytechnica CTU Proceedings, 2017 This paper presents a new approach to mental functions modeling with the use of artificial neural networks. The artificial neural networks seems to be a promising method for the modeling of a human operator because the architecture of the ANN is directly
Martin Ruzek
doaj +1 more source
Demand forecasting in a Supply Chain using Machine Learning Algorithms [PDF]
مجله مدل سازی در مهندسی, 2015 —the purpose of this paper is to compare two artificial intelligence algorithms for forecasting supply chain demand. In first step data are prepared for entering into forecasting models.
Mohsen Shafiei Nikabadi +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Nanothermometry in Living Cells: Physical Limits, Conceptual and Material Challenges
Advanced Functional Materials, EarlyView.Heat and temperature are fundamental to life. When nanothermometers began probing regions as small as a living cell, they triggered controversial claims of large intracellular temperature gradients. We review physical constraints energy‐conservation, entropy production, thermodynamic fluctuations, and molecular dynamics.
Taras Plakhotnik
wiley +1 more source
Sound Recognition System Using Spiking and MLP Neural Networks [PDF]
, 2016 In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification.
Cerezuela Escudero, Elena +5 more
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Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
NEW TECHNIQUES APPLIED IN ECONOMICS. ARTIFICIAL NEURAL NETWORK [PDF]
The present paper has the objective to inform the public regarding the use of new techniques for the modeling, simulate and forecast of system from different field of activity.
Constantin Ilie, Margareta Udrescu
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