Results 151 to 160 of about 2,445,824 (337)

Preface to the Special issue on Neural Networks [PDF]

, 1988
Clif Penn
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Medical diagnosis using artificial neural networks

Mathematics in Applied Sciences and Engineering
Medical diagnosis using Artificial Neural Networks (ANN) and computer-aided diagnosis with deep learning is currently a very active research area in medical science.
Afsana Begum, Md. Masiur Rahman, Sohana Jahan   +2 more
doaj   +1 more source

MODEL NEURAL NETWORKS AND BEHAVIOUR. Edited by Allen I. Selverston [PDF]

, 1986
I. D. MCFARLANE
openalex   +1 more source

Development and Validation of a One‐Dimensional Finite Difference Simulation Scheme for Polymer Laser Powder Bed Fusion with Application to the Effect of the Inter Layer Time

Advanced Engineering Materials, EarlyView.
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch, Bastien Dietemann, Moritz Grünewald, Christian Schlör, Johannes Rudloff   +4 more
wiley   +1 more source

NEURAL NETWORK FORMATION OF EDUCATIONAL QUALIFICATION CHARACTERISTICS IN THE SYSTEM OF DISTANCE LEARNING MOODLE

, 1970
Olena О. Arsirii, Olena H. Zhylenko
openalex   +2 more sources

The neural network as a prototype in the design of nonconventional computer architecture for artificial intelligence applications (abstract) [PDF]

, 1986
Massoud Omidvar, J.Y. Cheung
openalex   +1 more source

Associative Neural Network

, 2008
An associative neural network (ASNN) is an ensemble-based method inspired by the function and structure of neural network correlations in brain. The method operates by simulating the short- and long-term memory of neural networks. The long-term memory is represented by ensemble of neural network weights, while the short-term memory is stored as a pool ...
openaire   +4 more sources

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source