- 倒傳遞演
- 反傳算法
- 反向傳播算法
- 回傳式學習算法
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back propagation algorithm中文什么意思
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- In this paper , we improve the objective function of back propagation algorithm based on different financial actual situation . change the objective function into the expectation and the variance of error function to make its application more wide
本文首先基于bp算法應用于金融實務領域的不同，對原bp算法的單一目標函數進行了改進，分別取其期望目標和方差目標，進行了bp算法的推廣，使其應用范圍更廣。 - In order to override the well - known limitation of back propagation algorithm , such as local grade problem , we suggest genetic algorithm , a global optimization algorithm , to optimize the weights set . the different parts of this model were modularized and combined as a prediction system
通過對固定網絡結構的權系值進行遺傳操作，優(yōu)化網絡的權系值組合，快速收斂到最優(yōu)權系值組合，進而提高網絡的分析預測效率和能力。 - The multiplayer forward neural network and its training algorithm are thorough analyzed , error back propagation algorithm is derived from the mathematic , the problem of bp algorithm is indicated . the improved bp algorithm with many target recognition is constructed
詳細分析了多層前饋型神經網絡描述及訓練算法機理，從數學的角度推導了誤差逆?zhèn)鞑ニ惴? bp算法) ，同時指出了bp算法存在的問題。構建了一種用于多目標識別的改進的bp算法。 - On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system , this paper sets up an adaptive noise cancellation controller based on artificial neural network , which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end , this paper proposes some advices of model and algorithms
在對基于誤差反向傳播學習算法的多層前向人工神經網絡進行分析基礎上，結合傳統自適應噪聲抵消系統基本原理，建立了基于人工神經網絡的自適應噪聲抵消器，經基于matlab的simulink仿真實例證明，具有很強的噪聲濾除能力和魯棒性。最后并提出了網絡及算法進一步改進的方法。 - Based upon the deficiencies of the back propagation algorithm in the practical application , after some mechanisms effecting the network training and the other performances are analyzed when training samples with disturbance are employed in training , in this paper , through combining the chief thoughts of the classical bp algorithm and the robust statistic technique , improving the optimal algorithm of the bp algorithm , a new algorithm with high robustness - robust adaptive bp algorithm is proposed , and also make a good effect when integrated this new algorithm with the dynamical bp network to predict the stock price
本文從基本bp算法在應用中存在的不足出發(fā)，著重分析了訓練樣本中所含噪聲對基本bp算法在網絡訓練過程中產生的不良影響，并以此為依據，采用魯棒統計技術，同時在優(yōu)化算法上做了一些有益的改進，提出一種新的具有較強抗干擾能力的bp算法? ?魯棒自適應bp算法，并將其應用于動態(tài)bp網絡，進行股票價格的預測，取得了較好的預測效果。