… , such as neuralnetworks and recurrent neuralnetworks, offer even … , such as image recognition, natural language processing, and … against the defined objectives and make necessary …
… There are several methods of designingneuralnetworkensembles, such as weighted average linear … Design of effectiveneuralnetworkensembles for imageclassificationpurposes. …
… :Objectives: With the development and popularization of deep learning theory, deep neural networks are widely used in image … images, so it cannot effectively extract the detailed fea…
李莉, 汪咏, 陆宁, 林国义 - Control Theory & Applications …, 2021 - search.ebscohost.com
… effectiveness of hybrid comparison of multiple classification … to calculate the error, and uses a recursive algorithm to correct … based on artificial neuralnetworkensembles. Artificial Intelli…
… In this paper, an ensemble majority vote classifier to enhance … Expressed ensemble techniques are effective for sentiment … them into the neuralnetwork-based architecture that uses a …
… At the same time, another purpose of this paper is to explore all … imageclassification, speech recognition, natural language … By processing vast amounts of data, deep neuralnetworks …
… proposed algorithm improves the ensemble model black-box … SAR imageclassification with deeper convolutional neural … convolutional neuralnetwork models in SAR target recognition…