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Risk cybernetics : ウィキペディア英語版 | Risk cybernetics
Risk Cybernetics is a combination of risk management, risk specification and risk control techniques using advanced human thought processes, 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 obtain predictable and sustainable returns which can be applied to any industry including applications in market data, financial time series, cyber security measures, etc.
== References ==
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Risk cybernetics」の詳細全文を読む
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