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A Neural Network Approach for Wind Retrieval from the ERS-1 Scatterometer Data
A Neural Network Approach for Wind Retrieval from the ERS-1 Scatterometer Data
Nonlinear predictive control based on artificial neural network model for industrial crystallization
Nonlinear predictive control based on artificial neural network model for industrial crystallization
Super-resolution target identification from remotely sensed images using a Hopfield neural network
Super-resolution target identification from remotely sensed images using a Hopfield neural network
Super-resolution land cover pattern prediction using a Hopfield neural network
Super-resolution land cover pattern prediction using a Hopfield neural network
Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network
Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network
Multiple-class land-cover mapping at the sub-pixel scale using a Hopfield neural network
Multiple-class land-cover mapping at the sub-pixel scale using a Hopfield neural network
Dynamic binding in a neural network for shape recognition
Dynamic binding in a neural network for shape recognition
A comparison of several artificial neural network classifiers for CT images of hardwood logs
A comparison of several artificial neural network classifiers for CT images of hardwood logs
Building neural network models for time series: a statistical approach
This paper is concerned with modelling time series by single hidden layer feedforward neural network models. A coherent modelling strategy based on statistical…
Tactile Image based Contact Shape Recognition using Neural Network
Tactile Image based Contact Shape Recognition using Neural Network
Benchmarking Probabilistic Neural Network Algorithms
Benchmarking Probabilistic Neural Network Algorithms
Quantitation of T2 lesion load in multiple sclerosis with magnetic resonance imaging: A pilot study of a probabilistic neural network approach
Quantitation of T2 lesion load in multiple sclerosis with magnetic resonance imaging: A pilot study of a probabilistic neural network approach
A Hybrid Approach for Classification of MRI Brain Tumors Using Genetic Algorithm, K-Nearest Neighbor and Probabilistic Neural Network
Detection and classification of brain tumor are very important because it provides anatomical information of normal and abnormal tissues which helps in early…