neural network toolbox 中文意思是什麼
neural network toolbox
解釋
神經網路工具箱-
An available neural network toolbox ( nnt ) in matlab, however, solves the problem
而matlab軟體提供了一個現成的神經網路工具箱（ neuralnetworktoolbox ，簡稱nnt ） ，為解決這個難題提供了便利條件。 -
The fault diagnosis software of power supply system applying the expert system theory is programmed under vb 6. 0. while the fault diagnosis of electric load manage center and solid state power controller is based on the neural network theory, whose software is realized through adopting the neural network toolbox of matlab 6. 1 in vb 6. 0
對于飛機供電系統，在vb6 . 0中編寫了基於專家系統理論的故障診斷軟體；對于電氣負載管理中心和固態功率控制器，其故障診斷軟體則基於神經網路理論，通過在vb6 . 0中調用matlab6 . 1的神經網路工具箱完成。 -
Secondly, matlab neural network toolbox is applied to construct training network and to offer fast learning algorithm, several typical qrs waves can be recognized, which proved that this approach conduce to resolve the problem and decrease the difficulty of programming
其次，在qrs波段的檢測和識別中，使用了前饋神經網路進行快速的訓練分析，對典型的幾例qrs波異常進行了成功的自動識別分類，即能夠進行簡單的基於qrs波段的診斷。 -
This paper ' s study was emphasized on : 1. set up bp neural network set up bp network by matlab toolbox. chosen transfer function among every layer, training error and learning rate were included
重點研究內容： （ 1 ）建立bp （ backpropagation ）神經網路用matlab提供的人工神經網路工具箱建立網路，包括選擇各層間的傳遞函數、確定網路訓練誤差和學習速率等，為建立定價模型做準備。 -
2. ga optimized bp neural network first, selected function for evaluating. second, used matlab toolbox to design ga ( chosen selection methods, crossover type, and mutation probability ). ga could get rid of redundant node and branch effectively from bp network, and optimized it
（ 2 ）遺傳演算法優化網路首先確定評估函數，再利用matlab提供的遺傳演算法工具箱進行演算法設計（確定選擇方法、交叉類型、變異概率等） ，剔除網路冗餘節點和分支，實現對bp網路的優化。 -
Calculation of slope erosion based on neural network toolbox of matlab
神經網路工具箱的邊坡沖刷量計算 -
The application of matlab neural network toolbox on system identification
神經網路工具箱在系統辨識中的應用 -
Through the thesis, we can see that it ' s easy and effective to make bp network objects by using the neural network toolbox ( nnt ) based on matlab to evaluate the predictive model
同時，為了彌補matlab在人機交互性能上的欠缺，建立matlab與delphi之間的應用程序介面，將delphi靈活強大的編程能力、 matlab強大的科學計算能力相結合。 -
Secondly, based on the neural network toolbox, a convenient realization on matlab is discussed for bp neural network, and the programming methods are presented about how to create a network, train a network and simulate a network
然後在matlab神經網路工具箱的基礎上，探討了bp網路在matlab環境中的實現，並給出了bp網路建立、訓練和模擬過程的編程方法。 -
First of all, to normalize the load data to [ - 1, + 1 ], and then set up the model of load forecast. then training and simulating this model with the neural network toolbox of matlab software, then get all parameters of module after trained
首先將負荷數據歸一化，建立負荷預測模型，然後使用matlab軟體中的神經網路工具箱對該模型進行模擬訓練，計算出訓練后的模型各個參數。 -
First, features of ncrna were summed up to serve as input for data mining procedures later on. second, statistics toolbox and artificial neural networks toolbox of matlab were used to carry out principal components analysis and artificial neural network training. finally, user prediction was designed in visual c + + while matcom served as interface between matlab and vc to complete the user prediction program
首先利用生物學實驗數據總結出ncrna的特徵，作為數據挖掘方法的輸入；然後在matlab環境下用統計工具箱和神經網路工具箱對輸入的特徵進行主成分分析和神經網路訓練，用訓練好的網路去預測ncrna ；最後，為了實現通用性，運用matcom介面與vc實現windows下供用戶實際使用的預測程序。 -
( 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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