Artificial neural networks: fundamentals, computing, design, and application.
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Artificial neural networks for diagnosis and survival prediction in colon cancerEmpirical estimation of the grades of hearing impairment among industrial workers based on new artificial neural networks and classical regression methods.Evidence of Complex Contagion of Information in Social Media: An Experiment Using Twitter BotsImproving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches.Novel paradigm for constructing masses in Dempster-Shafer evidence theory for wireless sensor network's multisource data fusionEvolving neural network optimization of cholesteryl ester separation by reversed-phase HPLC.Single-base-pair discrimination of terminal mismatches by using oligonucleotide microarrays and neural network analysesPretransplant prediction of posttransplant survival for liver recipients with benign end-stage liver diseases: a nonlinear model.Evaluation of gel-pad oligonucleotide microarray technology by using artificial neural networksArtificial neural network application in the diagnosis of disease conditions with liver ultrasound imagesModeling the winter-to-summer transition of prokaryotic and viral abundance in the Arctic Ocean.Estimation of alpine skier posture using machine learning techniquesHip fracture risk assessment: artificial neural network outperforms conditional logistic regression in an age- and sex-matched case control study.A spiking network model of decision making employing rewarded STDP.Computational intelligence in early diabetes diagnosis: a review.Use of artificial neural networks and a gamma-concept-based approach to model growth of and bacteriocin production by Streptococcus macedonicus ACA-DC 198 under simulated conditions of Kasseri cheese production.Multivariate Calibration Approach for Quantitative Determination of Cell-Line Cross Contamination by Intact Cell Mass Spectrometry and Artificial Neural Networks.Raman spectroscopy of blood serum for Alzheimer's disease diagnostics: specificity relative to other types of dementiaMicrotechnology: meet neurobiology.Centered Kernel Alignment Enhancing Neural Network Pretraining for MRI-Based Dementia Diagnosis.How long will my mouse live? Machine learning approaches for prediction of mouse life span.A review for detecting gene-gene interactions using machine learning methods in genetic epidemiology.The superior fault tolerance of artificial neural network training with a fault/noise injection-based genetic algorithm.Classification of Healthy Subjects and Alzheimer's Disease Patients with Dementia from Cortical Sources of Resting State EEG Rhythms: A Study Using Artificial Neural Networks.Artificial neural networks in evaluation and optimization of modified release solid dosage formsA convolutional neural network approach to calibrating the rotation axis for X-ray computed tomography.Using artificial neural networks in clinical neuropsychology: high performance in mild cognitive impairment and Alzheimer's disease.Quantitative structure-activity relationship: promising advances in drug discovery platforms.Novel technologies for monitoring the in-line quality of virgin olive oil during manufacturing and storage.A magnetic synapse: multilevel spin-torque memristor with perpendicular anisotropy.Use of uniform designs in combination with neural networks for viral infection process development.Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks.Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network.Elderly fall risk prediction based on a physiological profile approach using artificial neural networks.Modeling land use and land cover changes in a vulnerable coastal region using artificial neural networks and cellular automata.Unsupervised detection of cancer driver mutations with parsimony-guided learning.Identification of Cryptosporidium parvum oocysts by an artificial neural network approachUse of artificial neural networks to accurately identify Cryptosporidium oocyst and Giardia cyst images.Seven-days-ahead forecasting of childhood asthma admissions using artificial neural networks in Athens, Greece.Dynamics of surface runoff and its influence on the water quality using competitive algorithms in artificial neural networks.
P2860
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P2860
Artificial neural networks: fundamentals, computing, design, and application.
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2000 nî lūn-bûn
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2000 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
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2000 թվականի դեկտեմբերին հրատարակված գիտական հոդված
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2000年の論文
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2000年論文
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2000年論文
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2000年論文
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2000年論文
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2000年論文
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2000年论文
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name
Artificial neural networks: fundamentals, computing, design, and application.
@ast
Artificial neural networks: fundamentals, computing, design, and application.
@en
Artificial neural networks: fundamentals, computing, design, and application.
@nl
type
label
Artificial neural networks: fundamentals, computing, design, and application.
@ast
Artificial neural networks: fundamentals, computing, design, and application.
@en
Artificial neural networks: fundamentals, computing, design, and application.
@nl
prefLabel
Artificial neural networks: fundamentals, computing, design, and application.
@ast
Artificial neural networks: fundamentals, computing, design, and application.
@en
Artificial neural networks: fundamentals, computing, design, and application.
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P1476
Artificial neural networks: fundamentals, computing, design, and application.
@en
P2093
P356
10.1016/S0167-7012(00)00201-3
P577
2000-12-01T00:00:00Z