Palavra-chave: ARTIFICIAL NEURAL NETWORKS

ARTIFICIAL IMMUNE SYSTEMS FLOOD FORECASTING COMUNICAÇÕES ÓPTICAS. VARIABLE SELECTION STOCK MARKET SUPERVISED LEARNING PHYSICS-INFORMED NEURAL NETWORKS PRINCIPAL COMPONENT REGRESSION MIXTURE OF EXPERTS MIMO DECODING LIFELONG LEARNING ECONOMIC FORECASTING STANDARD STATE PROPERTIES PHOTONIC BAND GAP CONCEPT DRIFT MASSIVE MIMO RAINFALL-RUNOFF MODELLING LOAD FLOW DENSITY ESTIMATION PROJECTION PURSUIT MATHEMATICAL MODELING GENE EXPRESSION BIO-INSPIRED COMPUTING CONDUCTING POLYMERS ADAPTIVE RECOMMENDER SYSTEMS ADSORPTION SENSORS DOUBLY FED INDUCTION GENERATOR ECHO STATE NETWORK SYSTEM IDENTIFICATION POWER DISTRIBUTION RECURRENT NEURAL NETWORKS SUPPORT VECTOR MACHINES PM10 FORECASTS EXTREME LEARNING MACHINES MORPHOLOGICAL NEURAL NETWORKS SIGNAL PROCESSING MACHINE LEARNING FUNCTION APPROXIMATION NONPARAMETRIC REGRESSION NANOSTRUCTURED FILMS SOFTWARE SENSOR COMPUTATIONAL INTELLIGENCE DATA CLUSTERING WINES BIOPROCESS CONTROL HOMEOSTATIC SYSTEM INDUSTRIAL EFLUENTS SENSORY ANALYSIS TIME SERIES PREDICTION CEPSTRAL FEATURES YOGURTH FINANCE FORECASTING INDUCTION MOTOR RED WINES CLASSIFICATION PROBLEM MULTI-OBJECTIVE OPTIMIZATION WATER MICROARRAY DATA ANALYSIS ENGINEERING EDUCATION INTEGRATED OPTICS PROBABILISTIC LEARNING REACTIVE POWER LIMITS DIRECT POWER CONTROL REINFORCEMENT LEARNING ULTRA-THIN FILMS PHASE TRANSMITTANCE RADIAL BASIS FUNCTION FUZZY LOGIC CONTROL LITHIUM-ION BATTERY STOCK MARKETS IMAGE PROCESSING DEEP AUTO ENCODER RESERVOIR CHARACTERIZATION CONDUTING POLYMERS VADER INVERSE SPACE MAPPING TASTE SENSOR HYBRID LEARNING 5G GEOCHEMISTRY ATIABAIA RIVER BASIN MULTI-LAYER PERCEPTRON (MLP) SELF-ORGANIZING MAPS ANTIBIOTIC EVOLUTIONARY COMPUTATION HIERARCHICAL APPROACH LINEAR PREDICTIVE CODING BAYESIAN LEARNING FAULT DETECTION CIRCUIT OPTIMIZATION MODELLING CARBONATE RESERVOIR GREEN SYNTHESIS SENSORES ELECTRONIC TONGUE STATE OF CHARGE AUTONOMOUS NAVIGATION ENSEMBLES CARBON NANOTUBES PHOTONIC CRYSTALS RADIAL BASIS FUNCTION NEURAL NETWORKS CLASSIFIER SYSTEMS ELECTRIC POWER SYSTEMS E-LEARNING SENTIMENT ANALYSIS STATIC EXTERNAL EQUIVALENTS LOAD FLOW WITH STEP SIZE OPTIMIZATION BATTERY STATE OF HEALTH PARTIAL LEAST SQUARES REGRESSION CO-EVOLUTIONARY ALGORITHMS ETHANOL FERMENTATION BIOREACTORS MULTIVARIATE ANALYSIS REMOTE SENSING SHORT LOAD FORECAST MACHINE LEARNING INTEGRATION CONSTRUCTIVE LEARNING SIMULATION REGULARIZATION REGULARIZED LEAST-SQUARES SEISMIC MULTI-ATTRIBUTE ANALYSIS COMPLEX-VALUED NEURAL NETWORKS ROBOTICS SPACE MAPPING TECHNIQUES NONLINEAR CONTROL PATTERN CLASSIFICATION SPEECH EMOTION RECOGNITION GEAR SHIFTING CONTROL