流圖可約性 的英文怎麼說
中文拼音 [liútúkěyāoxìng]
流圖可約性
英文
flow graph reducibility-
1 ) if bank capital are forbidden thoroughly to get into stock market, it will bring low profit on monetary market, constrict the development of capital market and affect the transmission of monetary policy ; 2 ) vice versa, allowing bank capital to flow into stock market too early may also lead to unfavorable effects, such as endangering financial stability, disturbing financial order and constraining the development of economy
（ 1 ）限制銀行資金入市，造成了貨幣市場收益率低下，商業銀行、保險公司在貨幣市場上融出資金基本無利可圖，只好通過各種途徑違規進入股市；使資本市場失去資金支持，不僅造成市場流動性不足，還因缺乏基準利率參照而難以形成合理的定價機制，制約了資本市場的發展；影響貨幣政策的傳導，貨幣市場與資本市場的關聯性低，貨幣政策信號受阻，傳導路徑相對單一，貨幣政策效應的時滯加大。To verify the structural correctness, a structural conflict verification method of workflow models based on graph reduction is introduced in this paper. with this method, we can figure out all structural conflicts of workflow model. to verify execution performance, we should rely on simulation and comprehensive bpi system
為了保證工作流模型的結構正確性，本文採用了一種基於圖歸約法的工作流模型結構沖突檢測方法，該方法可以成功的檢測出工作流模型中存在的各種結構沖突;為了保證業務過程的運行性能，模擬運行過程模型，藉助業務流程綜合評價指標體系，通過分析過程模型運行結果，從而得到模型的運行性能指標。Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction
首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
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