adaptive value 中文意思是什麼
adaptive value
解釋
適應值-
Ethology is concerned with the study of adaptive, or survival value of behavior and its evolytionary history
動物行為學是與動物的適應性，或行為上的生存價值及進化史方面的研究有所關聯。 -
Test results show that under 2 - tone test in 5mhz tone spacing, the power amplifier system achieves - 50dbc imd3 with 20w output power, improved 20db in imd3 compared with the one without linearity. estimated value of aclr comes to 53db, which satisfies the 3gpp requirement for wcdma base - station transistor. further tests with alterative input power indicate a steady suppression to the imd3 controlled by the adaptive system
測試結果表明，自適應前饋功放系統在雙音輸出功率20w時三階交調系數小於- 50dbc ，鄰通道泄漏抑制比（ aclr ）的估算結果大於53db ，在理論上滿足3gpp對wcdma基站發射機的指標要求。 -
Analyze and compare pid and vague, single neuron etc. control strategy, and combine with single neuron self adaptive gain, self adaptive right value and preventive integral saturation etc. control strategy. have improved single neuron control algorithm, may restrain efficiently to disturb, reduce broken arc and short circuit etc. phenomenon, make systematic control effect and robustness get to strengthen, also have certain application reference value for the design of the dc arc furnace
通過對pid 、模糊、單神經元等控制策略的分析比較，將單神經元增益與權值的自適應調節、抗積分飽和等控制策略相結合，改進了單神經元控制器演算法，可以有效抑制擾動，減少斷弧、短路等現象的發生，使系統的控制效果和魯棒性都得到增強，對電弧爐控制系統的設計也具有一定的應用參考價值。 -
The numerical simulation equations of the border curves in term of and as well as the matching rules and the frequency dependence of microwave electromagnetic parameters of a broad - band homogeneous absorbing coating with a finite value of reflection loss are available. these results pointed out the direction to develop rams ". according to the radar - absorbing model, the optimized design of rams with thin - layer, light - weight, broadband and strong - absorbing is available by the simple genetic algorithms, which can effectively conduct the research work of rams to the detail. small but completely, the electromagnetic parameter ' s databases of rams that based on actual microwave absorbers have been set up, the object function has been constructed which conform to the involved goals, the adaptive coding measure is taken which extends the coding length dynamically adapting to the condition of the number of actual absorbers or the precision of thickness and absorber - volume - percentage, the decoding technique is initiated which satisfies light - weight and strong - absorbing as well as thin - layer and broadband by adopting of tracing variable restricting conditions dynamically to control total thickness. when decoding, the variable restricting conditions of thickness are dynamically traced, so gain the radar absorbing coatings of light - weight multiple - layer single - ingredient. similary, of thickness and absorber - volume - percentage, of light - weight multiple - layer multiple - ingredient. also, the rams ' demand to radar - absorb performance as frequency is met making use of the penalty function
作為遺傳演算法的具體實施：根據本實驗室近來研製的吸波材料，建立了吸波材料的相關數據庫；構造了能真實體現「薄、輕、寬、強」優化目標的目標函數；根據材料的實際數量以及塗層厚度精度要求、吸收劑體積分數精度要求，建立了能動態擴展相應碼長的自適應編碼方法；首創了通過動態跟蹤變量的約束條件來控制塗層總厚度的解碼技術，以此實現了在不弱化寬頻、高強的吸波性能目標的同時，兼顧到薄層、輕質的使用性能要求；在解碼時通過動態跟蹤厚度變量的約束條件，實現了多層單組分吸波塗層對重量輕的要求；通過動態跟蹤厚度變量的約束條件和吸收劑體積分數的約束條件，實現了多層多組分吸波塗層對重量輕的要求；使用權重系數變化法，實現了吸波塗層的分頻段吸波性能要求。 -
This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored
二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。 -
Based on the classification of images, this paper gives out four digital image steganography techniques which have good conceal effect, including low - three - bits hiding strategy, odd - even of hypo - low bit hiding strategy, deviation of adjacent - field hiding strategy and self - adaptive deviation of adjacent - field hiding strategy. on digital watermarking aspect, this paper gives two blind watermarking strategies which have good conceal effect and high robustness, they are single - watermarking strategy based on minimal - value exchanging and multi - watermarking strategy which hides the same watermark copy on the different parts of an image
在對圖像進行了分類的基礎上，本文給出了四個具有較好掩密效果的數字圖像隱寫策略，包括低三位隱藏策略、次低位奇偶策略、鄰域方差策略和自適應鄰域方差策略；在數字水印方面，提出兩個掩密效果好且魯棒性較高的數字圖像盲水印策略，分別為基於最小值交換法的單一水印策略和嵌入同一水印多個副本的多水印策略。 -
The thesis retrospects some primary management theories and ideas of reference value, and definition of complex system is introduced ; also the conception, theoretical foundation and method of cas are reviewed ; and description of adaptive agents, the seven basic points and main characteristics of cas are systematically introduced
回顧了對本研究有借鑒價值的主要管理理論、管理思想，並介紹了復雜系統理論的定義，系統地回顧了cas的概念、理論基礎和方法，並概括了cas理論的7個基本點和主要特點，把適應性分子進化模型及其相關理論引入到了復雜適應系統。 -
The paper also studied the structure of lms adaptive filter and the theoretical analysis of astringency by deducing the equal square error of the weigh value in the msn linear filtering
在mse線性濾波中權值的均方誤差函數的推導的基礎上，對lms自適應濾波器的結構和收斂性的理論分析進行了研究。 -
It is well known that the wavelet liner approximation ( i. e, truncating the high frequencies ) can be approximate smooth singals very efficiently. however, for example, piecewise continous signals with large jump in signal value or in its derivatives, standard wavelet linear approximation techniques cannot achieve similar results for signals which are not smooth. to overcome these problems within the standard wavelet transform framework, the paper proposed the double adaptive wavelet transforms
眾所周知，小波的線性近似（只用低頻系數而不採用高頻系數進行重構的方法稱為線性近似）能非常有效的近似初始的光滑信號。然而對于非光滑信號，例如具有跳變點的分段連續信號，標準小波的線性近似就不能獲得如光滑函數那樣好的結果。 -
Genetic algorithm is an adaptive global optimal algorithm that simulates the inheritance and evolution of the biology. the whole course of finding the best value depends on probability
遺傳演算法是一種模擬生物在自然環境中的遺傳和進化過程而形成的一種自適應全局優化概率搜索演算法。 -
Secondly, this paper mainly put forward different grey level threshold value segmentations of plane target after brief analyse the smooth and sharp image of image strengthen technology, segmentation for the overall situation, adopt the maximum variance method, the maximum entropy combine with adaptive threshold selection method, the maximum variance ration between two classes and in two classes ; segmentation for the part situation, has adopted the adaptive threshold value method ; to background more complicated segmentation, have adopted the two - dimentional maximum entropy method
其次，在簡要的分析了圖像平滑和銳化的圖像增強技術后，重點研究了飛機目標的灰度分割，提出不同的灰度閾值分割方法進行圖像分割，對于全局分割，採用了最大類間分割法、最大熵與一致性準則相結合法、最大類間類內方差比法;對于局部分割，採用了自適應閾值法;對于背景較復雜的分割，採用了二維最大熵法。 -
17 sullivan g. adaptive quantization encoding technique using an equal expected - value rule. ftp : ftp3. itu. int jvt - site 2005 01 hongkong jvt - n011. doc
本文還結合變換特性進行了適應性量化研究，提高了編碼效率。 -
On one hand, from the technique of constrained least squares and limited energy of additive noise, an effective restored approach by adopting regularization method to overcoming ill - posed problem, solving an equation with a single variable, and using space iterative algorithm is proposed ; on the other hand, aiming at the restoration of blurred image, another effective restoration approach based on least - square algorithm is also proposed in this paper. this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem. in the computations, the regularized parameter has its adaptive character, which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value
一是從約束最小二乘出發，在加性噪聲能量有界的前提下，採用正則化方法來克服病態問題，通過解一個單變量方程，並利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題，從最小二乘演算法出發，採用增量迭代的方法改善演算法的收斂性，同時結合正則化技術克服問題的病態性質，並引入自適應的正則化參數，使其與圖像復原的迭代運算同步進行並自動修正到最優值。 -
One of the adaptive means of plants to high ph value is to accumlate acidic buffer ( e. g., organic acid, citric acid, proline ) to regulate its high ph value
植物對環境高ph的適應方式之一是在體內積累具有緩沖作用的酸性代謝物（如有機酸、檸檬酸、脯氨酸等）來進行體內ph的調節。 -
Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields
進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。 -
Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly
本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。 -
Image denoising algorithm of adaptive threshold value based on wavelet transform modulus maximum
基於小波變換模極大值的自適應閾值圖像去噪演算法 -
Then an impedance control strategy with robust performance is presented aiming at uncertainties of robot, fnn is used to learning the uncertainties in order to eliminate disturbance, which have good robust and high value in practice. finally, an adaptive method is presented
為此，本文又在機器人阻抗控制的基礎上，針對機器人和環境的不確定性，提出一種具有魯棒性的阻抗控制結構，使用模糊神經網路作為補償控制器消除力控制中的所有不確定性，具有較強的魯棒性和較好的實用價值。 -
Penalty function is introduced in the adaptive value function to speed up the convergence of the algorithm and ensure that the assignment reduction includes fewer attributes with stronger support
在交叉規則中，採用了單點交叉，最大迭代代數被作為停止準則，演算法獲得較佳的搜索效果。 -
( 3 ) combining secondary genetic algorithm with l - m algorithm in toolbox and thinking about effects of partial forecasting sample in adaptive value, the thesis redacts improved genetic neural network procedure in order to pick up faculty of learning and generalization and running velocity
（ 3 ）與工具箱的l - m演算法結合編寫了改進遺傳神經網路ga - lm程序，綜合考慮了部分預測樣本對適應度函數的影響，提高了網路的學習、泛化能力及運行速度。
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