The low power chips were used to insure that the whole system power is under 1.5w . a feature extraction and b-p neural networks algorithm embedded in the single chip processor were presented in order to avoid large amount of computation 在硬件設計中,著重于低功耗電路的設計,采用低功率器件和省電管理模式,使整個系統的工作功率低于1.5w。
The chip shapes in the course of cutting processing was carefully analyzed and studied and put forward feature expanded and radbas function neural network algorithms for recognition chip shape, more than experiments program was developed 對于切削加工中的切屑形態(tài)進行了分析研究,提出了特征拓展和徑向基函數神經網絡識別切屑形態(tài)的算法,并開發(fā)了相應的程序軟件。
Anew neural network algorithm for decision level fusion is also presented in this dissertation . the architecture of this network is novel . it is the thresholds, not the conjunction weights, which are modified, when the network is being trained 本文還提出了一種新的神經網絡算法用于決策層融合目標識別,該網絡結構新穎,網絡訓練時修改的是門限而不是連接權值。
At the same time attempting and groping for the combination of fuzzy logic control and neural network algorithm, putting forward the fuzzy neural network structure and control algorithm that is in series and validating it in practice 在模糊邏輯控制與神經網絡計算相結合方面作了嘗試和探索。提出了網絡學習型的模糊神經網絡控制器以及相應的學習算法,并在實踐中進行了驗證。
The actuality of the bp neural network algorithm, the wavelet transforms theory and gabor wavelet neural network algorithm and their application of target recognition in the world are introduced . the problems are analyzed 論文包括以下諸方面內容:對目前國際、國內bp神經網絡算法、小波變換理論、gabor小波神經網絡算法以及在目標識別中的應用現狀進行了綜述,對存在的問題進行了剖析。
The actuality of the bp neural network algorithm, the wavelet transforms theory and gabor wavelet neural network algorithm and their application of target recognition in the world are introduced . the problems are analyzed 論文包括以下諸方面內容:對目前國際、國內bp神經網絡算法、小波變換理論、gabor小波神經網絡算法以及在目標識別中的應用現狀進行了綜述,對存在的問題進行了剖析。
The microsoft neural network algorithm creates classification and regression mining models by constructing a multilayer perceptron network of neurons, providing support for nonlinear models that are too complex to derive by using other algorithms microsoft神經網絡算法通過構造神經元的多層感知器網絡來創(chuàng)建分類和回歸挖掘模型,同時為過于復雜而無法使用其他算法派生的非線性模型提供支持。
And it firstly analyzes some character recognition algorithms used much at present, such as template matching algorithm, characters features algorithm and artificial neural network algorithm . and then it puts forward thoughtway of combination of character recognition algorithm 同樣,先對目前常用的字符識別算法(模板匹配法、字符特征法、人工神經網絡)進行分析,然后提出組合識別法字符識別思想。
Secondly, considering the complexity of cement rotary kiln system, we build up the models of this system with the integration techniques of artificial neural network and expert system . the improved ebp neural network algorithm is used in this system 第二,根據水泥回轉窯系統具有多變量、多回路、非線性、分布復雜和經典數學模型難以建立的特點,運用神經網絡與專家系統集成技術對預分解窯系統進行了建模與研究。