Results 51 to 60 of about 2,398,960 (400)
Artificial Neural Network Analysis of the Impact of Sample Output Accuracy
MATEC Web of Conferences, 2016 The impact of artificial neural network model output precision technology widespread attention. Quality sample study of neural network output accuracy is not much affected, most of the research is the structure (number of layers and the number of nodes),
Zhang Yu Zhong, Song Shao Yun
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Guaranteed Quantization Error Computation for Neural Network Model Compression [PDF]
arXiv, 2023 Neural network model compression techniques can address the computation issue of deep neural networks on embedded devices in industrial systems. The guaranteed output error computation problem for neural network compression with quantization is addressed in this paper. A merged neural network is built from a feedforward neural network and its quantized
arxiv
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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International Journal of Innovative Science and Research TechnologyGastric cancer is an important health problem and is the fourth most common cancer and the second leading cause of cancer-related deaths worldwide. The incidence of stomach cancer is increasing and it can be dealt with using new methods in prediction and
Seyed Masoud Ghoreishi Mokri +2 more
semanticscholar +1 more source
Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, collaborative classification of multimodal data, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR), has been widely used to improve remote sensing image classification accuracy.
Bin Yang +5 more
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A wavelet neural network approach to predict daily river discharge using meteorological data
Measurement + Control, 2019 This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system.
Ömer Gürsoy, Seref Naci Engin
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Artificial Neural Network Based Mppt Algorithm for Modern Household with Electric Vehicle
Communications, 2022 This paper deals with implementation of artificial neural network in the maximum power point tracking (MPPT) controller algorithm for modern household where electric vehicle (EV) was purchased. The proposed MPPT algorithm was designed to achieve the best
Ján Morgoš, Peter Klčo, Karol Hrudkay
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Application of Neural Network in Optimization of Chemical Process [PDF]
arXiv, 2021 Artificial neural network (ANN) has been widely used due to its strong nonlinear mapping ability, fault tolerance and self-learning ability. This article summarizes the development history of artificial neural networks, introduces three common neural network types, BP neural network, RBF neural network and convolutional neural network, and focuses on ...
arxiv
Review of Neural Network Algorithms [PDF]
, 2021 The artificial neural network is the core tool of machine learning to realize intelligence. It has shown its advantages in the fields of sound, image, sound, picture, and so on.
Jiang, Yibo, Liu, Meiying
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An Artificial Neural Network Functionalized by Evolution [PDF]
arXiv, 2022 The topology of artificial neural networks has a significant effect on their performance. Characterizing efficient topology is a field of promising research in Artificial Intelligence. However, it is not a trivial task and it is mainly experimented on through convolutional neural networks. We propose a hybrid model which combines the tensor calculus of
arxiv