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Comparison of artificial intelligence models and experimental models in estimating reference evapotranspiration (Case study: Ramhormoz synoptic station) [PDF]
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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Detection of Biomedical Images by Using Bio-inspired Artificial Intelligent [PDF]
Computer vision and image processing are extremely necessary for medical pictures analysis. During this paper, a method of Bio-inspired Artificial Intelligent (AI) optimization supported by an artificial neural network (ANN) has been widely used to ...
Hanan A. R. Akkar, Sameem A. Salman
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METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW
Abstrak - Penelitian untuk mencari model prediksi curah hujan yang akurat di berbagai bidang sudah banyak dilakukan, maka dilakukan di-review kembali guna membantu proses penyaliran dalam perusahaan tambang.
Herlina Jayadianti +3 more
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Bionic Artificial Neural Networks in Medical Image Analysis
Bionic artificial neural networks (BANNs) are a type of artificial neural network (ANN) [...]
Shuihua Wang, Huiling Chen, Yudong Zhang
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There are a lot of developing countries with inadequate meteorological stations to measure solar radiation. This has been a major drawback for solar power applications in these countries as the performance of the solar-powered system cannot be accurately
Mustapha Mukhtar +6 more
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These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that. The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm ...
Ivan V. Stepanyan, Safa A. Hameed
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In the quest for interpretable models, two versions of a neural network rule extraction algorithm were proposed and compared. The two algorithms are called the Piece-Wise Linear Artificial Neural Network (PWL-ANN) and enhanced Piece-Wise Linear ...
Veronica K.H. Chan, Christine W. Chan
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NEURAL-NETWORK MODEL OF SOFTWARE QUALITY PREDICTION BASED ON QUALITY ATTRIBUTES
The paper proposes a neural-network model of software quality prediction based on quality attributes. The proposed model differs from the known models, because it provides considering the importance of each quality attribute and their interaction within
MYKYTA LEBIGA +2 more
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Absorption in the wavemaker by Artificial neural networks (ANNs)
Wave-making theories are becoming available, but their applicability is limited to specific ranges of waves and wavemaker types. Machine learning can also be used to discover nonlinear functional relationships. As a result, based on machine learning, this paper proposes a simple and universal framework for generating and absorbing waves.This framework ...
Amini, Meysam, Seif, Mohammad Saeed
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Evaluation and Improvement Performance of a Boiler in a Thermal Power Plant Using Artificial Neural Network [PDF]
This research aims to avoid damage in power plant boiler steam generation by using Artificial Neural Network techniques (ANN) to improve the boiler performance. The training and testing using ANN by Back Propagation (BP) algorithm.
Hosham Anead +2 more
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