Tag: нейронная сеть

Molecular modelling of the structure of a protein complex with a ligand via a neural network

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. Molecular modelling of the structure of a protein complex with a ligand via a neural network//Science online: International Scientific e-zine - 2018. - №11. - https://nauka-online.com/en/publications/technical-sciences/2018/11/modelirovanie-molekulyarnoj-struktury-kompleksa-belka-s-ligandom-s-pomoshhyu-nejroseti/

Annotation: This paper presents the new approach for molecular docking through using neural networks. Neural networks are able to summarize a huge amount of data and generate real-time new ones based on them and the laws found. The significance and problems of molecular docking are described. Classical biochemical approaches, their pros and cons are described and compared with the proposed method. New method structure and results described. The ways for further research are proposed as well.

Processing of fragments of the medical image by the modified convolution algorithm

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. Processing of fragments of the medical image by the modified convolution algorithm//Science online: International Scientific e-zine - 2018. - №5. - https://nauka-online.com/en/publications/technical-sciences/2018/5/obrabotka-fragmentov-meditsinskogo-izobrazheniya-algoritmom-modifitsirovannoj-svertki/

Annotation: The article discusses some existing solutions for image filtration and approaches that will automate this process, proposes a new alternative, the essence of which is to combine the architecture of the neural network and the convolutional operation, which has a kernel of convolution of arbitrary size.

Possibilities of using neural networks in instant messaging systems

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. Possibilities of using neural networks in instant messaging systems//Science online: International Scientific e-zine - 2018. - №5. - https://nauka-online.com/en/publications/information-technology/2018/5/vozmozhnost-ispolzovaniya-nejronnyh-setej-v-sisteme-obmena-mgnovennymi-soobshheniyami/

Annotation: The research carried out an analysis of user interaction with existing instant messaging systems. Key factors of interaction are considered. The use of neural networks to improve user interaction with the system is overviewed.

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