system identification theory造句
造句與例句
手機(jī)版
- Applying this forward model , the system identification theory is firstly introduced to gpr signal analyzing field , and the sidthk program is developed for backcalculating dielectric property and thickness of pavement structures
應(yīng)用該正演模型，首次將系統(tǒng)識別理論引入探地雷達(dá)信號分析領(lǐng)域，提出了路面結(jié)構(gòu)層材料介電特性及其厚度反演分析方法，并開發(fā)了反演分析軟件sidthk 。 - However , with the development of society and science , nonlinear system is more and more important . the conflict between control and model is getting more and more evident . this fact results in the development of nonlinear system identification theory
但隨著社會、科學(xué)的發(fā)展,非線性系統(tǒng)越來越受到人們的關(guān)注,其控制與模型之間的矛盾越來越明顯,因而非線性系統(tǒng)的辨識問題也越來越受到重視,其辨識理論不斷發(fā)展和完善。 - E . tva load model structure , which is more adaptive to the measurement - based load modeling . based on the presented model , the dissertation further researches and applies the least square algorithm in classic system identification theory as well as the simplex method and the genetic algorithm in modern system identification theory to identify the load model
在廣泛研究現(xiàn)有典型負(fù)荷模型結(jié)構(gòu)的基礎(chǔ)上，論文提出了適用于量測建模的時變適應(yīng)的負(fù)荷模型( tva負(fù)荷模型) ；進(jìn)而研究并綜合應(yīng)用傳統(tǒng)辨識理論中的最小二乘辨識法和現(xiàn)代辨識理論中的單純形法、遺傳算法進(jìn)行負(fù)荷模型辨識。 - The main contents are following : ( 1 ) from the methodology of nn , the basic theories on nn are discussed , with the emphasis on the mechanism of nn and its study rules . then the bp nn is concerned , because it is the comparatively most widely used nn type in the field of structure ' s damage identification ; ( 2 ) from the angle of system identification theories , the method and process of establishing the identification system model are demonstrated . also , how to implement a structural damage identification system of concrete architecture , based on bp neural network is demonstrated in the thesis ; ( 3 ) in order to find a more effective training algorithm of global approach , the way of optimizing network ' s weights using ga is demonstrated
論文的主要內(nèi)容包括： ( 1 )從神經(jīng)網(wǎng)絡(luò)理論出發(fā)，探討了神經(jīng)網(wǎng)絡(luò)的基本理論，并重點(diǎn)論述了神經(jīng)網(wǎng)絡(luò)的工作機(jī)制和學(xué)習(xí)規(guī)則，及在結(jié)構(gòu)損傷識別領(lǐng)域中廣泛應(yīng)用的前向神經(jīng)網(wǎng)絡(luò)模型- - - - bp神經(jīng)網(wǎng)絡(luò)模型； ( 2 )從系統(tǒng)識別論的角度，提出了利用神經(jīng)網(wǎng)絡(luò)建立混凝土結(jié)構(gòu)損傷識別反問題的思路、方法和步驟，并在此基礎(chǔ)上研究了基于bp神經(jīng)網(wǎng)絡(luò)的結(jié)構(gòu)損傷識別系統(tǒng)對單處梁結(jié)構(gòu)進(jìn)行識別的方法； ( 3 )為了尋找一種更有效的全局逼近學(xué)習(xí)算法，本論文從神經(jīng)網(wǎng)絡(luò)與遺傳算法相結(jié)合的角度，闡述了遺傳算法結(jié)合bp算法優(yōu)化神經(jīng)網(wǎng)絡(luò)權(quán)值的方法，實(shí)驗證明，遺傳算法和神經(jīng)網(wǎng)絡(luò)相結(jié)合不僅具有神經(jīng)網(wǎng)絡(luò)泛化的映射能力，而且具有遺傳算法快速和全局逼近的優(yōu)點(diǎn)，是一種較好的解決混凝土結(jié)構(gòu)損傷識別問題的方法； ( 4 )基于java語言設(shè)計并實(shí)現(xiàn)了結(jié)構(gòu)損傷識別系統(tǒng)。 - It will present a new method - frequency - domain regression ( fdr ) method based on system identification theory for calculating transient heat flux through multi - layer walls . first , the frequency characteristics of the total transmission matrix are calculated within the frequency range concerned . then , a simple polynomial 5 - transfer function is yielded from the theoretical frequency characteristics for internal , cross and external heat conduction by applying appropriate identification algorithm , respectively
首先在所關(guān)心的頻域范圍內(nèi)計算出總的傳遞矩陣的頻率響應(yīng)，然后采用適應(yīng)的辨識算法從墻體不穩(wěn)定傳熱的理論頻率響應(yīng)中構(gòu)造出一個簡單的多項式s -傳遞函數(shù)，該多項式s -傳遞函數(shù)與墻體瞬時傳熱的理論的超越s -傳遞函數(shù)完全等價。 - It's difficult to see system identification theory in a sentence. 用system identification theory造句挺難的
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