Results 51 to 60 of about 2,089,547 (271)
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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Artificial Neural Networks in Medical Diagnosis
International Journal of Research Publication and ReviewsArtificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied.
Qeethara Al-Shayea
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Pancreatic Cancer Prediction Through an Artificial Neural Network
Frontiers in Artificial Intelligence, 2019 Early detection of pancreatic cancer is challenging because cancer-specific symptoms occur only at an advanced stage, and a reliable screening tool to identify high-risk patients is lacking.
W. Muhammad +6 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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Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation
npj Parkinson's DiseaseNeuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions.
Atefeh Asadi +5 more
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Development of neural network model of disc brake operation [PDF]
FME Transactions, 2010 The quality of artificial neural network models mostly depends on a proper setting of neural network architecture i.e. learning algorithm, transfer functions, range and distribution of data used for training, validation, and testing, etc.
Ćirović Velimir, Aleksendrić Dragan
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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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Removing Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks
International Journal of Interactive Multimedia and Artificial Intelligence, 2018 An artificial neural network based filter to remove unwanted tremor-induced motion in computer mouse input is presented and tested. A method to efficiently capture appropriate training data is shown to be important in the operation and training of the ...
Stephen Mack
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, 2006 In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews +40 more
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Applications of artificial neural networks for enhanced livestock productivity: A review
Indian Journal of Animal Sciences, 2016 Artificial neural network models are machine-learning systems, a type of artificial intelligence. They have been inspired by and developed along the working principles of the human brain and its nerve cells.
V B DONGRE, R S GANDHI
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