Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
IEEE Access, 2019 The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries.
Oludare Isaac Abiodun +9 more
semanticscholar +1 more source
Optimal Artificial Neural Network Type Selection Method for Usage in Smart House Systems
Sensors, 2020 In the process of the “smart” house systems work, there is a need to process fuzzy input data. The models based on the artificial neural networks are used to process fuzzy input data from the sensors. However, each artificial neural network has a certain
Vasyl Teslyuk +3 more
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Implementation of Backpropagation Artificial Network Methods for Early Children’s Intelligence Prediction [PDF]
E3S Web of Conferences, 2021 Intelligence is the ability to process certain types of information derived from human biological and psychological factors. This study aims to implement a Backpropagation artificial neural network for prediction of early childhood intelligence and how ...
Budiman I +4 more
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Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy
, 2020 Many computer models such as cellular automata and artificial neural networks have been developed and successfully applied. However, in some cases, these models might be restrictive on the possible solutions or their solutions might be difficult to ...
A Ilachinski +9 more
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SIR: A New Wireless Sensor Network Routing Protocol Based on Artificial Intelligence [PDF]
, 2006 Currently, Wireless Sensor Networks (WSNs) are formed by hundreds of low energy and low cost micro-electro-mechanical systems. Routing and low power consumption have become important research issues to interconnect this kind of networks.
Barbancho Concejero, Antonio +3 more
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Neural Networks: Implementations and Applications [PDF]
, 1996 Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in ...
Jain, L.C., Veelenturf, L.P.J., Vonk, E.
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Estimation of soil properties by an artificial neural network
Magazine of Civil Engineering, 2022 Empirical dependencies are often used in various fields of geotechnics and civil engineering. The existing empirical formulas are mainly developed with the use of regression and multiple regression.
Ofrikhter Ian +3 more
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Comparison of artificial intelligence models and experimental models in estimating reference evapotranspiration (Case study: Ramhormoz synoptic station) [PDF]
مدلسازی و مدیریت آب و خاک, 2023 IntroductionWater resources are strongly influenced by the hydrological cycle and the estimation of evapotranspiration as the main component of the hydrological cycle plays an important role in water resources management. This phenomenon is nonlinear and
Danial Khari +2 more
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Artificial Neural Network Algorithms for 3D Printing
Materials, 2020 Additive manufacturing with an emphasis on 3D printing has recently become popular due to its exceptional advantages over conventional manufacturing processes.
M. A. Mahmood +3 more
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Sensors, 2022 Structural anomaly diagnosis, such as damage identification, is a continuously interesting issue. Artificial neural networks have an excellent ability to model complex structure dynamics.
Zhi-Gang Ruan, Zu-Guang Ying
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