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1. (WO2019024083) ARTIFICIAL NEURAL NETWORK
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Pub. No.: WO/2019/024083 International Application No.: PCT/CN2017/096004
Publication Date: 07.02.2019 International Filing Date: 04.08.2017
IPC:
G06N 3/08 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
Applicants:
NOKIA TECHNOLOGIES OY [FI/FI]; Karaportti 3 FI 02610 Espoo, FI
NOKIA TECHNOLOGIES (BEIJING) CO., LTD. [CN/CN]; Unit 18, Room 1001, Level 10 East Tower, World Financial Center No. 1, East Third Ring Middle Road Chaoyang District, Beijing 100020, CN (LC)
Inventors:
WANG, Meng; CN
Agent:
KING & WOOD MALLESONS; 20th Floor, East Tower World Financial Centre No. 1 Dongsanhuan Zhonglu Chaoyang District, Beijing 100020, CN
Priority Data:
Title (EN) ARTIFICIAL NEURAL NETWORK
(FR) RÉSEAU NEURONAL ARTIFICIEL
Abstract:
(EN) There is provided an apparatus comprising at least one processing core, at least one memory including computer program code, at least one memory and the computer program code being configured to, with at least one processing core, cause the apparatus at least to obtain, from a first sequential input(102), a first output from a first recurrent neural network, the first sequential input being of a first modality, obtain, from a second sequential input(103), a second output from a second recurrent neural network, the second sequential input being of a second modality, and process the first output and the second output to obtain a correlation of the first and second sequential inputs.
(FR) L'invention concerne un appareil comprenant au moins un cœur de traitement, au moins une mémoire comprenant un code de programme d'ordinateur, au moins une mémoire et le code de programme d'ordinateur étant configurés pour, avec au moins un noyau de traitement, amener l'appareil au moins à obtenir, à partir d'une première entrée séquentielle (102), une première sortie provenant d'un premier réseau neuronal récurrent, la première entrée séquentielle étant d'une première modalité, obtenir, à partir d'une seconde entrée séquentielle (103), une seconde sortie provenant d'un second réseau neuronal récurrent, la seconde entrée séquentielle étant d'une seconde modalité, et traiter la première sortie et la seconde sortie pour obtenir une corrélation des première et seconde entrées séquentielles.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)