backpropagation 中文意思是什麼

backpropagation 解釋
反向傳播
  1. Based on analyzing the multilayer perceptron neural network, it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function

    在分析多層感知器神經網路的基礎上，推導了雙曲正切函數為激勵函數的誤差後向傳播演算法。
  2. During the work of designing the structure of parallel machine tool, in allusion to the main shortcoming of stewart platform mat its workspace is strait, we decide to design a stewart type parallel machine tool which fulfill the given spherical position workspace and have the best dexterity, genetic algorithm is used in this paper. because the calculation of the fitness function is complex, backpropagation arithmetic is used to approach fitness function. the results show that mis method has good accuracy and computing efficiency

    在並聯機床的結構設計中，針對並聯機床的工作空間有限且受刀具姿態影響大的弱點，提出了以保證非零最小可達章動角球形主工作空間的基礎上，使操作靈敏度暨剛度分佈最優化的設計目標，優化方法的選用了遺傳演算法，結合神經網路技術，該方法取得了很好的結果。
  3. Backpropagation model of the ann is used in knowledge storage and the leverberg - marquardt algorithm based on numerical optimization is used in training the neural networks

    採用了基於數值優化的leverberg - marquardt （簡稱lm ）演算法，對網路進行訓練，完成知識庫的組建。
  4. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability

    （ 3 ）運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明： bp 、徑向基（ rbf ）和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。
  5. Application research of backpropagation neutral network in supply chain management performance index

    神經網路在供應鏈管理績效指標評價中的應用研究
  6. Yu, shang - wu ( 1998 ), " an application of backpropagation networks on forecasting the stock index futures ", joint international conference on contemporary management and comparative management, kaohsiung

    余尚武，吳嘉欽（ 1998 ） ， "股價指數期貨對股票市場波動性之影響" ，第七屆證券暨金融市場理論與實務研討會，中山大學。
  7. Research on neural network classifier of target based on genetic - backpropagation algorithm

    演算法的神經網路目標分類器的研究
  8. In order to improve the learning rate of backpropagation neural network, levenberg - marquart algorithm was proposed to learning network optimized weight parameters

    為了提高bp網路的學習效率，本文將levenberg - marquart （ l - m ）演算法引入到bp網路中進行網路權值的學習。
  9. In the thesis, how to use the backpropagation training functions in the matlab toolbox to train feedforward neural networks to solve specific problems is explained. besides that, how to design the interface between matlab and delphi is presented

    本文在簡要介紹了bp神經網路基本原理及其演算法的基礎上，詳細介紹了利用matlab神經網路工具箱進行bp網路模型建立、訓練、模擬的編程方法。
  10. As in nature, the network function is determined largely by connections ( weights ) between elements, so that a particular input leads to a specific target output. the cores of backpropagation neural network are the capacity of parallel computing, distribute saving, self - studying, fault - tolerant and nonlinear function approximating. input vectors and the corresponding target vectors are used to train a network until it can approximate a function, associate input vectors with specific output vectors, or classify input vectors in an appropriate way as defined by you

    人工神經網路是一類模擬人類神經系統的結構，他揭示數據樣本中蘊含的非線性關系，大量處理單元組成非線性自適應動態系統，具有良好的自適應性、自組織及很強的學習、聯想、容錯和抗干擾能力，在不同程度和層次上可模仿大腦的信息處理機理，可靈活方便的對多成因的復雜未知系數進行建模。
  11. Fuzzy backpropagation algorithms and their convergence

    模糊反向傳播演算法及其收斂性
  12. Car tracing cauda is a bad traffic safety accident in speedway. more and more people pay attention to it. in recent years people try to solve car elude tracing cauda in theories and technologies. and building tracing cauda model is the fundation for studing car tracing cauda. after analyzing causation of car tracing cauda, and with the neural network theory, this paper gives backpropagation neural network model for solving it, and disccuses a technic scheme for car tracing cauda prediction system, simulation shows the bp neural network model is acceptable

    高速公路汽車追尾是一種嚴重的交通安全事故，引起了交通科技界的廣泛重視.近幾年來，人們試圖從理論與技術上解決高速公路汽車追尾問題，其中建立追尾的數學模型是研究追尾現象的基礎.文中在分析了汽車追尾的原因后，基於神經網路理論，建立了追尾的bp網路模型，並討論了追尾預測系統的技術實現方案
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