自測練習 的英文怎麼說
中文拼音 [zìcèliànxí]
自測練習
英文
evaluation exercises-
For the formative evaluation, study portfolios were set up for each subject in forms of self - evaluation, collaborative - evaluation, and teacher - directed evaluation. summative evaluation was carried out in the form of oral post - test with peng qigui ' s test as its main instrument. the conversations were recorded by microphone into tapes and the amount of the use of the communicative strategies was counted, by which communication strategy competence was measured
策略訓練的效果以形成性和終結性兩種評價形式進行，形成性評價採用建立學生學習檔案，以自評，互評和師評三種方式定期進行；終結性評價以實驗后測試的形式，採用彭啟貴（ 2000 ）為測試工具，將交際內容錄音，整理，統計並評價交際效率。Before the bp neural net forecast fire size class, it needs a process of studying from sample data. the neural net adjusts the weight value and threshold value according to the sample so as to give the linking weight value and threshold to low the difference between output from itself and the expected value
Bp網路在應用於預測預報之前，需要一個網路學習過程，網路根據輸入的訓練（學習）樣本進行自適應、自組織，確定各神經元的連接權w和閾值。A comprehensive test resource which provides numerous sample questions in each of the seven question formats, as well as details on the oral proficiency and testing procedure
本書包含了許多多益測驗問題項目，每大項各自包含了7個問題的題組，以練習口語的精通能力以及解答測驗題的熟練度。A comprehension exercise in which students can listen to the lecture again, and test their understanding of the system and how it can be useful to them
在這個理解力的練習中，學生先重新聽一遍講課內容，然後測試自己對這個體系方法的認識理解以及它是如何對他們作筆記產生幫助的。According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods
針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。Campared with statistical analyze, it is shown that, the network structure and network output after trained rbfnn using improved rols is more reasonable than k - mean algrithm, and the control model has the property of self _ learning, self _ organization and self _ adaptive, and the control precision can be more than 90 %. on the other hand, this paper also shows that, rbfnn model can control the desulfuration process on the whole in time, and the prediction result using rbfnn model is better than statistical analyze method
同統計分析結果比較，得出以下結論：利用改進rols演算法訓練rbf網路比k -均值演算法能夠得到更加合理的網路結構和網路輸出；利用rbfnn所建立的脫硫智能控制模型具有自學習性、自組織性和自適應性，其控制精度達到90 %以上； rbf神經網路模型基本可以對脫硫過程進行及時控制；基於rbfnn模型的預測效果優于傳統的統計分析結果。Using self - reflection methods to test the body shape and physiological function of 52 females who have joined belly dance training for 16 weeks against the original
摘要採用自身對照的方法，對52名女性參加16周肚皮舞練習前後身體形態指標和機能指標進行測試。In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved
在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。It has used to forecast the full - time teachers in higher educational institutions in zhejing province by grey model and the artificial neuron network. this paper has acquired the better calculation result based on the advanced bp algorithm
文中運用人工神經網路的技術，採用改進自適應學習速率和動量項系數的bp演算法，對浙江省高等學校專任教師數進行有導師的訓練和預測。Radial basis function neural network ( rbfnn ) is chosen to build predictive model. rbfnn is a special type of neural network linear - in - weight in nature and having nonlinear processing properties. finally, an adaptive filter is applicable to do the followed weak signal extraction work
接著選用徑向基函數神經網路（ radialbasisneuralnetwork ， rbfnn ）建立混沌時間序列預測模型，徑向基函數神經網路是一種局部逼近的人工神經網路，訓練簡潔而且學習收斂速度快，能夠逼近任意非線性函數，最後將預測誤差送入自適應信號分離器進行處理，檢測出微弱信號。In this research we measured the need for cognition, the general perceived self - efficacy and creativity of middle school students, and compared their influence in creativity. we got the following finds finally : ( 1 ) the need for cognition, the general perceived self - efficacy and creativity aptitude of middle school students are above medium lever, and creative thinking ability is lower relatively
本文利用認知需求量表、一般自我效能感量表、威廉斯創造傾向測驗和中學生創造思維練習，分別考察了中學生一般自我效能感、認知需求、創造傾向以及創造思維能力的發展特點，並比較了一般自我效能感和認知需求對中學生創造性的影響程度。分享友人