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- And then the optimized network was retrained so that it had the optimum parameters. 然后對優(yōu)化后的網(wǎng)絡(luò )進(jìn)行再學(xué)習,使優(yōu)化后的網(wǎng)絡(luò )具有最佳參數;
- resource optimization network(RON) 資源優(yōu)化神經(jīng)網(wǎng)絡(luò )(RON)
- Additionally, to optimize network traffic, the developer must have granular control over the size, format, and encoding of the output. 除此之外,為了優(yōu)化網(wǎng)絡(luò )通信,開(kāi)發(fā)者必須對輸出數據的大小、格式和編碼方法具有細微的控制。
- The paper analyzes and designs logistics system in the environment of supply chain and compares the optimized network structures. 在供應鏈環(huán)境下的對物流系統進(jìn)行分析與設計,經(jīng)過(guò)比較相對優(yōu)化的網(wǎng)絡(luò )結構,從根本上提高企業(yè)的效率,達到以最少的投入獲得最大效益的目的。
- Betweenness Centrality is introduced here to optimize network topology and identify nodes which are most likely to cause congestion. 最終提出在具有無(wú)標度特征的復雜網(wǎng)絡(luò )中,依據網(wǎng)絡(luò )中節點(diǎn)的介數以及介數的標準差增加一些捷徑路徑的方法。
- We present a fast approach, which corresponds to Regularization, accomplishes selection of optimal network architecture by appropriate scale models. 本文提出一種與規則化方法相關(guān)的快速算法,這種算法僅在少許適當的候選模型中選定網(wǎng)絡(luò )優(yōu)化結構。
- It is dedicated the signification for the joint for equal network loss increase ratio law and the optimal network loss ratio law. 構造目標函數將二者建立聯(lián)系,并詳細闡述了該目標函數對等網(wǎng)損微增率和最優(yōu)網(wǎng)損微增率接合的意義。
- This paper presents an algorithm that constructs delay-bounded trees.The routing tree has a near optimal network cost under the delay bound constraint. 該文提出了一種基于實(shí)時(shí)應用的組播路由算法,該算法以較低的通信代價(jià)建立滿(mǎn)足時(shí)延界限的接近最優(yōu)的組播樹(shù)。
- A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure. 在RBF網(wǎng)絡(luò )中采用了一種減聚類(lèi)的學(xué)習算法來(lái)確定徑向基函數的相應參數,使網(wǎng)絡(luò )結構得到優(yōu)化。
- Motion Feature Point Correspondence Based on Target Trac king and Neural Optimization 基于目標跟蹤及神經(jīng)優(yōu)化的運動(dòng)特征點(diǎn)對應
- WildPackets Omni fault analysis platform for optimizing network services and improving uptime on enterprise networks. 用于優(yōu)化網(wǎng)絡(luò )服務(wù)器的故障分析平臺,此外能改良企業(yè)網(wǎng)絡(luò )的正常運行時(shí)間。
- Keywords homotopy;neural optimization;seisrnic inversion;interpolation;extrapolation;global optimization; 同倫;神經(jīng)優(yōu)化;地震反演;內插;外推;全局最優(yōu);
- Neural Network Trace Editor Training. 神經(jīng)網(wǎng)絡(luò )道編輯訓練。
- The scheme determined the node number of the networks automatically and resulted in an optimal network structure under BIC rule. 該算法權衡網(wǎng)絡(luò )的規模和精度兩方面因素,自動(dòng)地確定網(wǎng)絡(luò )的節點(diǎn)數目,可以得到在BIC準則下最優(yōu)的小波神經(jīng)網(wǎng)絡(luò )。
- The controlling method is NN-PID control in which BP neural network is used to implement the optim... 實(shí)驗結果表明氣浮溜板的振動(dòng)主動(dòng)控制系統是可行性的和有效性的。
- This position is for network optimization system. 該職位的主要是網(wǎng)絡(luò )優(yōu)化系統工程師。
- It has pointed out that the generalization ability of neural network can be improved by using network optimization and regularization methods. 神經(jīng)網(wǎng)絡(luò )泛化能力的提高可通過(guò)神經(jīng)網(wǎng)絡(luò )結構的優(yōu)化和正則化等方法加以實(shí)現。
- The neural network can preferably solve the non-linear problem. 利用神經(jīng)網(wǎng)絡(luò )建??梢暂^好地解決非線(xiàn)性問(wèn)題。
- Then, the improved PSO is applied to optimization of the structure and parameters in NN (neural network). 改進(jìn)的粒子群算法被用于優(yōu)化神經(jīng)網(wǎng)絡(luò )的結構和參數,結果表明:不但網(wǎng)絡(luò )的結構得到控制,而且泛化性能有了較大的提高。
- Neural Crest Induction And Differentiation. 神經(jīng)嵴誘導及演變。