Home »
Academic Articles & Research Papers
Showing 20 of 785 academic articles
Kevin M. Swingler (1996)
Techniques for building neural networks: introduction what are neural networks? how does neural computing differ from traditional programming? how are neural networks built? how do neural networks learn? what do I need to build an MLP? the ...
OPENALEX
Qi‐Jun Zhang, K.C. Gupta • Artech House, Inc. eBooks
(2000)
From the Publisher:
Discover the new, unconventional alternatives for conquering RF and microwave design and modeling problems using neural networks information processing systems that can learn, generalize, and even allow model developm...
OPENALEX
Lars Kai Hansen, Peter Salamon • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1990)
Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual gener...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/34.58871
Holger Schwenk, Yoshua Bengio • Neural Computation
(2000)
Boosting is a general method for improving the performance of learning algorithms. A recently proposed boosting algorithm, AdaBoost, has been applied with great success to several benchmark machine learning problems using mainly decision tr...
OPENALEX
DOI: https://doi.org/10.1162/089976600300015178
Juan F. Saldarriaga, Fabio Freire, Jose Freire • Chemical Engineering Transactions
(2018)
The minimum spouting velocity is one of the fundamental parameters in the application of the conical spouted bed pyrolysis, gasification and combustion, therefore it is necessary the adequate calculation and the use of a correlation with go...
DOAJ
Open Access (DOAJ)
DOI: 10.3303/CET1870208
Florence Choong Chiao Mei, Bryan Ng Jan Hong • Journal of Engineering Technology and Applied Physics
(2025)
Agriculture is one of the largest sectors that contribute to the economic growth of countries, including Malaysia. However, plant diseases affect the quality of the harvest and impede farmers’ maximum yield output. Therefore, early detectio...
DOAJ
Open Access (DOAJ)
DOI: 10.33093/jetap.2025.7.1.2
P. Jagadesh, J. Harshini, D. Arul, Solomon Oyebisi et al. • Discover Civil Engineering
(2026)
Abstract This study predicts the Air Quality Index (AQI) in the Coimbatore region using Artificial Neural Networks (ANN) to enhance air quality management and environmental science. The researchers measured six input variables over a two-ye...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44290-026-00423-z
XIONG Zhongmin, ZENG Qi, LU Peng, WANG Zhenhua, ZHENG Zongsheng • Jisuanji gongcheng
(2023)
Logical reasoning is the ability to perceive patterns and connections between visual elements. Endowing computers with human-like reasoning ability is a critical area of research；state-of-the-art deep neural networks have achieved superhuma...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0064591
Timothy D. Masters (1993)
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to prod...
OPENALEX
Dan W. Hammerstrom • IEEE Spectrum
(1993)
As explanation of how neural networks operate is given. Programming of neural networks and regular computers is compared. Matching a neural network to an application is discussed. Designing and training a neural network is examined.>...
OPENALEX
DOI: https://doi.org/10.1109/6.222230
Ben Kröse, Ben Kröse, Patrick van der Smagt, Patrick van der Smagt (1993)
Contents Preface 9 I FUNDAMENTALS 11 1 Introduction 13 2 Fundamentals 15 2.1 A framework for distributed representation : : : : : : : : : : : : : : : : : : : : : 15 2.1.1 Processing units : : : : : : : : : : : : : : : : : : : : : : : : : : ...
OPENALEX
Frauke Günther, Stefan Gerd Fritsch • The R Journal
(2010)
Artificial neural networks are applied in many situations.neuralnet is built to train multi-layer perceptrons in the context of regression analyses, i.e. to approximate functional relationships between covariates and response variables.Thus...
OPENALEX
Open Access
DOI: https://doi.org/10.32614/rj-2010-006
Christoph Bergmeir, José M. Benítez • Journal of Statistical Software
(2012)
Neural networks are important standard machine learning procedures for classification and regression. We describe the R package RSNNS that provides a convenient interface to the popular Stuttgart Neural Network Simulator SNNS. The main feat...
OPENALEX
cc-by
DOI: https://doi.org/10.18637/jss.v046.i07
Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies
(2021)
To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en14196049
Francisco J Zamora-Martínez, Salvador España-Boquera, Maria Jose Castro-Bleda, Adrian Palacios-Corella • PLoS ONE
(2018)
This paper presents a new method to reduce the computational cost when using Neural Networks as Language Models, during recognition, in some particular scenarios. It is based on a Neural Network that considers input contexts of different le...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0200884
Judith E. Dayhoff, James M. DeLeo • Cancer
(2001)
Artificial neural networks now are used in many fields. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretic support and with strong potential to be effective in any discipline, ...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-l
Fathaddin Muhammad Taufiq, Sari Alvita Kumala, Sutansyah Daddy, Ulfah Baiq Maulinda et al. • E3S Web of Conferences
(2024)
Relative permeability is a substantial parameter for estimating multi-phase fluid flow in porous rocks. It is a complex physical property that is influenced by the behavior and interactions between the fluid and rock phases. Relative permea...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202450003019
Enrique González-Plaza, David García, Jesús-Ignacio Prieto • Inventions
(2023)
Stirling engines are currently of interest due to their adaptability to a wide range of energy sources. Since simple tools are needed to guide the sizing of prototypes in preliminary studies, this paper proposes two groups of simple models ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/inventions8040088
Wu Huiyong, Zunlong Wang • PLoS ONE
(2025)
With the increasing complexity and prosperity of global financial markets, stock market forecasting plays a critical role in investment decision-making, market regulation, and economic planning. This study proposes a hybrid prediction model...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0330324
Yao He, Jing Yang, Shaobo Li, Jianjun Hu et al. • Complex & Intelligent Systems
(2024)
Abstract Catastrophic forgetting in neural networks is a common problem, in which neural networks lose information from previous tasks after training on new tasks. Although adopting a regularization method that preferentially retains the pa...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s40747-024-01350-1