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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…
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