UA96148C2 - Process neuron network control system and method for its configuration while teaching - Google Patents

Process neuron network control system and method for its configuration while teaching

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Publication number
UA96148C2
UA96148C2 UAA200811538A UAA200811538A UA96148C2 UA 96148 C2 UA96148 C2 UA 96148C2 UA A200811538 A UAA200811538 A UA A200811538A UA A200811538 A UAA200811538 A UA A200811538A UA 96148 C2 UA96148 C2 UA 96148C2
Authority
UA
Ukraine
Prior art keywords
control
neuron network
controller
neuron
database
Prior art date
Application number
UAA200811538A
Other languages
Russian (ru)
Ukrainian (uk)
Inventor
Марія Юріївна Тягунова
Адольф Миколайович Щербаков
Олексій Опанасович Голдобін
Равіль Камілович Кудерметов
Original Assignee
Запорожский Национальный Технический Университет
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Запорожский Национальный Технический Университет filed Critical Запорожский Национальный Технический Университет
Priority to UAA200811538A priority Critical patent/UA96148C2/en
Publication of UA96148C2 publication Critical patent/UA96148C2/en

Links

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The neuron network process controlling system relates to computer information control systems and can be used in the construction of intelligent computer-aided control systems of dynamic processes or objects. The system comprises an external entity, at least, one process environmental control and a Programmable Automation Controller, a database, a display monitor and a computer. Herewith it additionally comprises a neuron network control programmable controller-synthesizer to include a neuron network teaching control, a control function neuron network emulator, control training neuron network controller and database. The database involves generic model control bank, a evolutionary simulation genetic algorithm bank, training custom pattern library of artificial neuron networks, control calculus system of errors, a situation analyzer and a strategy selection. For each process environmental control there is an external object controlling control neuron controller. The external object is connected sensors, actuating mechanisms, an analogue and discrete signal module, a videocamera and an external object control neuron network actuating controller. The technical result is synthesis problem solution and simulation of dynamic control environmental object operating characteristics with opportunities of forecasting and analysis of their conduct with selection target for optimal control and implementing it with the help of corresponding peripheral devices, carrying out system diagnostics and external objects.
UAA200811538A 2008-09-25 2008-09-25 Process neuron network control system and method for its configuration while teaching UA96148C2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
UAA200811538A UA96148C2 (en) 2008-09-25 2008-09-25 Process neuron network control system and method for its configuration while teaching

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
UAA200811538A UA96148C2 (en) 2008-09-25 2008-09-25 Process neuron network control system and method for its configuration while teaching

Publications (1)

Publication Number Publication Date
UA96148C2 true UA96148C2 (en) 2011-10-10

Family

ID=50837872

Family Applications (1)

Application Number Title Priority Date Filing Date
UAA200811538A UA96148C2 (en) 2008-09-25 2008-09-25 Process neuron network control system and method for its configuration while teaching

Country Status (1)

Country Link
UA (1) UA96148C2 (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109635942A (en) * 2018-11-28 2019-04-16 北京工业大学 A kind of imitative brain excitement state and aepression working condition nerve network circuit structure and method
US10387298B2 (en) 2017-04-04 2019-08-20 Hailo Technologies Ltd Artificial neural network incorporating emphasis and focus techniques
CN112906888A (en) * 2021-03-02 2021-06-04 中国人民解放军军事科学院国防科技创新研究院 Task execution method and device, electronic equipment and storage medium
US11221929B1 (en) 2020-09-29 2022-01-11 Hailo Technologies Ltd. Data stream fault detection mechanism in an artificial neural network processor
US11237894B1 (en) 2020-09-29 2022-02-01 Hailo Technologies Ltd. Layer control unit instruction addressing safety mechanism in an artificial neural network processor
US11238334B2 (en) 2017-04-04 2022-02-01 Hailo Technologies Ltd. System and method of input alignment for efficient vector operations in an artificial neural network
US11263077B1 (en) 2020-09-29 2022-03-01 Hailo Technologies Ltd. Neural network intermediate results safety mechanism in an artificial neural network processor
US11544545B2 (en) 2017-04-04 2023-01-03 Hailo Technologies Ltd. Structured activation based sparsity in an artificial neural network
US11551028B2 (en) 2017-04-04 2023-01-10 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network
US11615297B2 (en) 2017-04-04 2023-03-28 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network compiler
US11811421B2 (en) 2020-09-29 2023-11-07 Hailo Technologies Ltd. Weights safety mechanism in an artificial neural network processor

Cited By (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11551028B2 (en) 2017-04-04 2023-01-10 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network
US11615297B2 (en) 2017-04-04 2023-03-28 Hailo Technologies Ltd. Structured weight based sparsity in an artificial neural network compiler
US11354563B2 (en) 2017-04-04 2022-06-07 Hallo Technologies Ltd. Configurable and programmable sliding window based memory access in a neural network processor
US11461615B2 (en) 2017-04-04 2022-10-04 Hailo Technologies Ltd. System and method of memory access of multi-dimensional data
US11461614B2 (en) 2017-04-04 2022-10-04 Hailo Technologies Ltd. Data driven quantization optimization of weights and input data in an artificial neural network
US11675693B2 (en) 2017-04-04 2023-06-13 Hailo Technologies Ltd. Neural network processor incorporating inter-device connectivity
US11238334B2 (en) 2017-04-04 2022-02-01 Hailo Technologies Ltd. System and method of input alignment for efficient vector operations in an artificial neural network
US11238331B2 (en) 2017-04-04 2022-02-01 Hailo Technologies Ltd. System and method for augmenting an existing artificial neural network
US10387298B2 (en) 2017-04-04 2019-08-20 Hailo Technologies Ltd Artificial neural network incorporating emphasis and focus techniques
US11263512B2 (en) 2017-04-04 2022-03-01 Hailo Technologies Ltd. Neural network processor incorporating separate control and data fabric
US11544545B2 (en) 2017-04-04 2023-01-03 Hailo Technologies Ltd. Structured activation based sparsity in an artificial neural network
US11514291B2 (en) 2017-04-04 2022-11-29 Hailo Technologies Ltd. Neural network processing element incorporating compute and local memory elements
US11216717B2 (en) 2017-04-04 2022-01-04 Hailo Technologies Ltd. Neural network processor incorporating multi-level hierarchical aggregated computing and memory elements
CN109635942A (en) * 2018-11-28 2019-04-16 北京工业大学 A kind of imitative brain excitement state and aepression working condition nerve network circuit structure and method
CN109635942B (en) * 2018-11-28 2023-05-05 北京工业大学 Brain excitation state and inhibition state imitation working state neural network circuit structure and method
US11221929B1 (en) 2020-09-29 2022-01-11 Hailo Technologies Ltd. Data stream fault detection mechanism in an artificial neural network processor
US11263077B1 (en) 2020-09-29 2022-03-01 Hailo Technologies Ltd. Neural network intermediate results safety mechanism in an artificial neural network processor
US11237894B1 (en) 2020-09-29 2022-02-01 Hailo Technologies Ltd. Layer control unit instruction addressing safety mechanism in an artificial neural network processor
US11811421B2 (en) 2020-09-29 2023-11-07 Hailo Technologies Ltd. Weights safety mechanism in an artificial neural network processor
CN112906888A (en) * 2021-03-02 2021-06-04 中国人民解放军军事科学院国防科技创新研究院 Task execution method and device, electronic equipment and storage medium
CN112906888B (en) * 2021-03-02 2023-05-09 中国人民解放军军事科学院国防科技创新研究院 Task execution method and device, electronic equipment and storage medium

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