Redes neurais: uma nova perspectiva na interpretaçäo de informaçöes ambientais
Bruni, Antonio de Castro.
São Paulo; s.n; 2000. 141 p. ilus, tab.
Tese em Português | LILACS | ID: lil-283210
Documentos relacionados
Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs.
Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways.
A multi-tier deterioration assessment models for sewer and stormwater pipelines in Hong Kong.
Multitasking via baseline control in recurrent neural networks.
AIRI: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence.
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.
FGSC: Fuzzy Guided Scale Choice SSD Model for Edge AI Design on Real-Time Vehicle Detection and Class Counting.
Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives.
A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks.
Artificial intelligence modeling to predict transmembrane pressure in anaerobic membrane bioreactor-sequencing batch reactor during biohydrogen production.