hopfield network 中文意思是什麼
hopfield network
解釋
霍普菲爾網路- network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
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As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base
對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。 -
Generalized discrete hopfield neural network and heuristic algorithm
廣義離散神經網路模型及啟發式演算法 -
Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network
） s _ n為手段，研究了網路狀態空間在群g作用下各點的運動情況，證明了群g作用下的不變性。證明了當神經元的激活函數f為奇函數時， hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系；同時，我們還證明了：網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為（能量和吸引域大小）相同；兩個等距網路h和h 1 = g ? h ， （ ? ） g （ -
To overcome the defaults of traditional algebra - based methods such as high gain, repetitive computation and disability of real - time solution, in this paper, we propose a novel method design of observers using hopfield neural network
為了克服傳統上用代數方法設計狀態觀測器時增益過大、重復計算以及不能滿足適時性等缺點，本文提出了一種基於hopfield神經網路的觀測器設計方法。 -
Traveling salesman problem is combinatorial optimization problem in graph theory, it has npc computation complexity, and lots of problem can transfer to traveling salesman problem. the computation of tsp is analyzed, then the hopfield network method for solving tsp is given, at last we solve 10 - citys traveling salesman problem and chinese traveling salesman problem by using chaos neural network modeling
首先分析了旅行商問題在窮舉搜索法下的工作量；其次給出了求解旅行商問題的hopfield神經網路方法，同時分析了利用人工神經網路求解旅行商問題所存在的問題；最後利用混飩神經網路模型求解10城市旅行商問題和中國旅行商問題。 -
Qos routing optimal algorithm in ad hoc networks based on a new hopfield neural network
網路中一種最小功耗路由演算法 -
Our condition and estimate are formulated in terms of the network parameters, the neurons ’ activation functions and the associated equilibrium point. hence, they are easily checkable. it is believed that these results are significant and useful for the design and applications of the delayed hopfield neural networks
這些條件和估計的公式是由網路參數、神經元激活函數以及相應的平衡點構成，所以它們很容易使用，相信這些結果對于帶時間延遲的hopfield神經網路的設計和應用具有一定的重要性和使用價值。 -
With the coming of information age, more and more people realize the importance of information. useful information hidden in plenty of data needs mining energently. the technology of data mining arises and develops unders such circumstance. the main tast of data mining is to extract or mine the useful information from the data. we can get great amount of data from the computer transaction every day. the data is very useful for us to make decisions on management. the paper concludes and introduces association rule about its concept, sort, model and step for mining the data, measure and some basic algorithm on the basis of the at research. at the same time, we analyse hopfield - network ' smodel, character, energy - function, movement - equation and so on. moreover, to the requirement of the system of information of computer - saling, we have done the following and there are good result. fisrt, considering the weight and constraint, we propose the algorithm for the weighted and constraint association rule
本文首先對數據挖掘中的關聯規則和神經網路的已有成果作了詳細深入的調研，歸納和整理了關聯規則的概念、分類、關聯規則挖掘的模型與步驟、關聯規則的度量方法以及一些基本演算法；還歸納和整理了hopfield網路的模型、特徵、能量函數、運動方程等，並在此基礎上，結合電腦賣場信息支持系統提出的需求，做了如下工作，並取得了一定的成果和成效： （ 1 ）考慮加權與約束兩種情況，提出了既帶權重又帶約束的關聯規則提取演算法。 -
Hopfield network based approach to aircraft design
網路的飛機設計 -
The study of the feedback neural network, the analysis of the work principle of hopfield neural network lead to a neural network model with chaotic character
對反饋神經網路進行了研究，在分析現有混沌神經網路的工作原理的基礎上，提出一種新的混沌神經網路模型。 -
Hopfield neural network for eight - queens problem
神經網路求解八皇后問題 -
Recognition research of decayed target based on hopfield neural network
網路的衰變目標識別研究 -
Lastly, we design the system of auto - fixing the computer according to model of hopfield - network. this system has achieved not only in the requirements of the < wp = 4 > customers, but also the speed of the fixing process
（ 3 ）應用hopfield網中的離散網實現了自動配機，既為客戶提供性價比較高的配機方案，又提高了確定配機方案的速度。 -
As far as state estimation in power system is concerned, continuous hopfield network is the best choice to solve the optimization
在狀態估計中應用比較成功的是連續性hopfield網路，它很適合處理優化問題。 -
An adaptive hopfield network with adjustable neuron thresholds is given, which can be used to form a target tracker self - organizingly
並設計了神經元閾值可調的自適應hopfield網路，用於實現網路自組織中目標跟蹤器的形成。 -
For the time - invariant linear systems, we transform the problem of observer design to a special type of constrained nonlinear programming and present the method to solve this programming using hopfield network, then, prove the convergence of the network
本文將線性時不變觀測器的設計問題轉化為一類特殊的約束非線性優化問題，給出了利用hopfield網路求解該問題的方法，證明了該方法的收斂性。 -
For this reason, theoretical study of neural dynamics has advanced rapidly in recent years. in this dissertation, we investigate the stability, bifurcation and chaotic phenomena of feedback neural networks including hopfield network and cellular neural networks ( cnns )
本文對反饋神經網路（包括hopfield網路及細胞神經網路）的穩定性、極限環以及混沌進行了研究，主要工作概況如下：研究了細胞神經網路（ cnn ）的全局指數穩定性。 -
This paper also have a research on bp and hopfield network, by using the nn, it provide a mechanism to deal with the diagnosis equations. the stability, astringency and the feasibility of this method can be strictly proved. the simulation results shows that the proposed methods can perform correct diagnosis in a very short time
隨后著重研究了bp神經網路與hopfield神經網路模型，並利用其故障診斷機理及特性提出了兩種解故障診斷方程組的神經網路方法，其穩定性、收斂性和可行性都能夠得到嚴格的證明，最後給出了模擬演算法步驟及診斷實例，實驗結果表明該方法對容差模擬電路的故障診斷有很好的改進。 -
Abstract : the characteristic of the weapon ' s synthetic performance evaluation is summarized in this paper. then a model for the classification of weapons is presented, based on the hopfield network. the computer simulation results show the system can realize the expected goal. it is a useful exploration for the use of ann on the weapons ' development demonstration
文摘:分析了裝備綜合性能評估特點，提出基於hopfield網路的武器裝備分類模型，給出了模擬實驗結果並進行了分析，初步探索了將動態神經網路運用於裝備論證工作的有效途徑，具有一定的實用價值。 -
This method can guarantee the solution matrix of sylvester equation to be inverse and the sum of the input gain norm and the observer gain norm is the minimum. for the linear systems with unknown parameters, we identify the parameters using hopfield network, then design the observers using the identified parameters, the exponential convergence of adaptive observer is also proved. for the linear time - varying systems, a new network to solve the time - varying sylvester equation is proposed, we analysis it ' s convergence and robustness, then, deign the linear time - varying observer using this network model, and we discuss the convergence of the observer and ruboustness to unknown match parameters
同時保證了sylvester方程的解矩陣的可逆性和觀測器的增益矩陣與輸入矩陣范數的和最小；在設計線性時不變自適應觀測器時，首先利用系統的輸入、輸出數據設計一個hopfield網路參數估計器，進一步設計狀態觀測器，證明了參數估計器和狀態觀測器的指數收斂性；為了仍然從神經優化計算的角度設計線性時變系統的狀態觀測器，最後介紹了一種求解時變sylvester矩陣方程的神經網路模型，分析了它的收斂性和魯棒性，然後利用該網路設計時變狀態觀測器，進一步討論該觀測器的在系統存在未建模不確定和外部噪聲時的魯棒性；最後給出了一種基於分離性原理和hopfield網路觀測器的狀態反饋閉環系統的結構，分析了該閉環系統的特點；對于每一種設計方法都給出了相應的數值模擬例子來進一步表明所提方法的可行性和有效性。
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