Risk cybernetics (original) (raw)
Risk cybernetics by Finamatrix.com (Author: Lanz Chan, Ph.D.) is a financial risk management technology and blockchain project comprising risk specification and risk control techniques using advanced artificial intelligence and computing technologies with circular-causal volatility-feedback in a genetic algorithm neural network (GANN) framework. More generally, risk cybernetics refers to risk management techniques which combine human and computer capabilities and functions in a circular-causal network/system. The objective of risk cybernetics is to achieve self-learning, self-enhancing and full-automation capabilities so as to reduce accidents, errors, etc. and obtain predictable and sustainable returns which can be applied to any industry including applications in market data, financial t
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| dbo:abstract | Risk cybernetics by Finamatrix.com (Author: Lanz Chan, Ph.D.) is a financial risk management technology and blockchain project comprising risk specification and risk control techniques using advanced artificial intelligence and computing technologies with circular-causal volatility-feedback in a genetic algorithm neural network (GANN) framework. More generally, risk cybernetics refers to risk management techniques which combine human and computer capabilities and functions in a circular-causal network/system. The objective of risk cybernetics is to achieve self-learning, self-enhancing and full-automation capabilities so as to reduce accidents, errors, etc. and obtain predictable and sustainable returns which can be applied to any industry including applications in market data, financial time series, cyber security measures, robotics, etc. (en) |
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| dbo:wikiPageWikiLink | dbr:Neural_network dbr:Computing_technology dbr:Genetic_algorithm dbr:Speculation dbc:Cybernetics dbr:Feedback dbr:Financial_time_series_analysis dbr:Artificial_intelligence dbc:Risk_management dbr:Risk_management dbr:Cyber_security |
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| dcterms:subject | dbc:Cybernetics dbc:Risk_management |
| gold:hypernym | dbr:Combination |
| rdf:type | dbo:Drug |
| rdfs:comment | Risk cybernetics by Finamatrix.com (Author: Lanz Chan, Ph.D.) is a financial risk management technology and blockchain project comprising risk specification and risk control techniques using advanced artificial intelligence and computing technologies with circular-causal volatility-feedback in a genetic algorithm neural network (GANN) framework. More generally, risk cybernetics refers to risk management techniques which combine human and computer capabilities and functions in a circular-causal network/system. The objective of risk cybernetics is to achieve self-learning, self-enhancing and full-automation capabilities so as to reduce accidents, errors, etc. and obtain predictable and sustainable returns which can be applied to any industry including applications in market data, financial t (en) |
| rdfs:label | Risk cybernetics (en) |
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