神經力不足的 的英文怎麼說
中文拼音 [shénjīnglìbùzúde]
神經力不足的
英文
aneuric- 神 : Ⅰ名詞1 (神靈) god; deity; divinity 2 (精神; 精力) spirit; mind 3 (神氣; 神情) expression; l...
- 經 : 經動詞[紡織] (把紡好的紗或線梳整成經紗或經線) warp
- 力 : Ⅰ名1 (力量; 能力) power; strength; ability; capacity 2 [物理學] (改變物體運動狀態的作用) forc...
- 不 : 名詞[書面語] (剁物所用的木墩) a block of wood
- 足 : Ⅰ名詞1 (腳; 腿) foot; leg 2 (姓氏) a surname Ⅱ形容詞(充足; 足夠) sufficient; ample; enough;...
- 的 : 4次方是 The fourth power of 2 is direction
- 神經 : nerve; nervus
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Though the method has generalization capability, it doesn ’ t satisfy the application. when the examples include yawp, wrong recognition occurs. generalization of the traditional is not ideality and instability
神經網路模式分類方法雖然具有比其他分類方法更好的泛化能力,但在實際應用中,仍然不能滿足人們的期望。But during the 1994 northridge earthquke and 1995 hyogoken - nanbu earthquke, many steel beani - to - column connections were damaged which indicated that cognition on the capacity of this type of joints was rather inadequate. in order to avoid similar damages in the future, analysis on response of beam - to - column connections under cyclic loads is not only significant from the theoretical aspect, but also important in practice
然而, 1994年美國northridge地震和1995年日本的阪神地震中,大量鋼框架樑柱連接發生破壞,顯示出人們對于剛性樑柱連接的受力性能和破壞機理認識還相當不足。為了避免人員傷亡和經濟損失,對鋼框架樑柱連接研究其在循環荷載作用下的反應,不僅具有重要的理論意義,更具有重大的工程實用價值。On the basis of introducing the theory of fuzzy control ( fc ) and neural network ( nn ) as a whole, this paper presented a new mixed control method, which was called as neural network - fuzzy control. ( nn - fc ). the nn - fc method combined the strong self - study ability of neural network and powerful experience - expressing ability of fuzzy control to meet the need of real - time control
在系統地介紹智能控制理論中的模糊控制和神經網路控制理論之後,引入了模糊控制和神經網路控制相結合的產物? ?神經模糊控制,將模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力集於一體,彌補了模糊控制需要系統先驗知識且缺乏自學習功能的不足。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 (The paper isn " t satisfied with the incongruity between the regulations of wto agreements and the economic laws in china ; on the contrary, it points out the existing drawback of the systems of law and presents an idea of the resolution in the spirit of wto agreements
本文並不滿足於wto協議的具體規定與中國經濟法律的調適,而是力圖從wto協議的原則精神探賾索隱,指出現行法律制度的缺陷,並提出調適的思路,從而使中國真正融入世界經濟一體化的大潮。Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce
因為遺傳演算法具有全局隨機搜索能力,魯棒性強、使用簡單和廣泛的特點,它不採用路徑搜索,而採用概率搜索,不用關心問題本身的內在規律,能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解,所以可以彌補神經網路學習演算法的不足,使陷入局部最小值的可能性大大減少,使得收斂速度提高,訓練量減小。Based on the theory of demand levels proposed by a. maslow, the present thesis investigates and compares the main difference of utilities among armymen at different levels according to their income levels. moreover, it quantitatively analyzes the influence on the individual utility of armmen at different level caused by increase in satisfying every demand, to find out the basic information and the main problems on the armymen ' s salary, welfare, spiritual encouragement and so on, systematically summarizing and analyzing the actual problems existing in the charge collocation of military personnel in our country. based upon the new research view, the present author reviews and benefits from the useful practice and experience of the charge collocation of military personnel abroad, constructs the economic model to analyze the quantitative relationship between the individual utility of armymen and the encouraged effect of military personnel, as well as between the input of military - personnel charge and its output of the encouraged effect, and put forward the proposal for maximizing the encouraged effect caused by the charge of military personnel of our country, trying to enter a new research area for human resource economy of military personnel and national defense investment economy in our country
本文借鑒馬斯洛需求層次理論,把軍事人員按收入級別劃分為不同層次,調查分析比較了不同層次軍人的效用觀主要區別,並把每一需求滿足的增加對不同層次軍事人員個人效用的影響加以量化分析,從而找出了我國軍人工資、福利、精神獎勵等的基本情況和存在的主要問題,系統總結和分析了我軍軍事人員費配置中存在的實際問題;並進而立足這一新的研究角度,考察和借鑒了國外軍事人員費配置的有益做法和經驗,建構和分析了軍人個人效用與其對軍事人員的激勵效應之間以及軍事人員費的投入與軍事人員費所產生的激勵效應之間數量關系的經濟模型,提出了我軍軍事人員費實現激勵效應最大化途徑的建議,嘗試著進入我國軍事人力資源經濟學和國防投資經濟學的新的研究領域。Sustainable consumption is a kind of consumption that follows economic rules, social rules and nature rules in the global environment and the carrying capacity of resources to achieve economic growth, social progress, and optimizes interests of consumers themselves, other people and future generations to meet material, spiritual, ecological needs of consumers. this requests consumption mode is scientific, healthy, civilized, saving resources and protecting environment, but the group consumption and the citizen consumption have many phenomena which disobey with it. all these phenomena are summarized as follows : waste existing among administrative consumption and duty consumption, the straight consumption, material consumption and spirit consumption uncoordinated, postponed consumption, advanced consumption and human consumption
可持續消費是一種遵循經濟規律、社會規律和自然規律,在全球環境和資源的承載能力下實現經濟增長、社會進步、最優化消費者本人和當代其他人以及後代人利益,能滿足人類的物質、精神、生態需要的消費,這要求消費方式是科學的、健康的、文明的、節約資源和保護環境的,但是當前的集團消費和居民消費中存在許多與之相悖的現象,本文將這些現象歸納為:集團消費中的政務和職務消費中的浪費,居民消費中的直線型消費、物質消費和精神消費的不協調、延期消費、超前消費以及人情消費中的浪費資源、污染環境、破壞社會風氣、不利於人的全面發展和影響有效需求擴大等方面。Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given
本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足,然後針對人工神經網路bp演算法的不足對其進行了改進,採用了基於擬牛頓的自適應演算法,它提高了網路學習效率,具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks
本文詳細研究了兩種典型的前向神經網路( bp網路和rbf網路)的學習和訓練演算法,提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路,其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足,其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力,模擬驗證了其有效性。( 4 ) because calculation of stress intensity factors using the finite element method of the linear elastic fracture mechanics cannot satisfy the need for the real - time monitoring and the real - time analysis of cracks in concrete dams, a four - layer neural network optimized by genetic algorithm and chaos optimization algorithm is proposed. the example shows that the optimized neural network can yield good results
( 4 )用斷裂力學有限元計算應力強度因子不能滿足對混凝土壩裂縫實時監測、實時分析中的要求,提出了利用遺傳演算法和混沌優化演算法改進的四層神經網路的解決方法,實例分析表明,本文提出的四層優化神經網路計算的應力強度因子接近於用斷裂力學有限元計算的應力強度因子。The abrs were tested to evaluate the hearing and neurologic functions, that is, hearing threshold and brainstem electric response to suprathreshold stimuli
膽紅素過高很容易引起腦部及聽神經的病變,造成核黃疸、腦性麻痹、聽力不足… …等。We have the most developed producing machinery equipment and skilled engineers, and build rich experience in this field. brand " yfh " has a good reputation in the chinese market, at the present we would like to exploit overseas market. various products, high quality, reasonable price and perfect service in our company. our principle is comity, innovation, reality and enterprising. welcome foreign and domestic customer to visit our factory andwork with us to take a bright future
公司經過了十幾年的投入發展,已擁有各種先進的生產設備和專業技術人員,並在櫥櫃裝飾領域里積累了一定的經驗和開發生產能力,生產的"永峰行"牌系列產品在同行業中享有較高的信譽,在立足國內市場的基礎上積極開拓國際市場,深受客戶青睞. "務實" "以誠為本"是永峰行企業精神,齊全的品種,卓越的品質,合理的價格,完善的服務是永峰行的營銷宗旨,先進技術,不斷開發新產品是永峰行企業的生命源泉,竭誠歡迎中外客戶位監指導,共創美好明天However, the traditional expert systems only handle the dominant and superficial knowledge, they have lots of demerit such as weak reasoning ability, poor intelligence and the difficulty in getting knowledge and so on. therefore, this paper introduces the technology of the artificial neural network ( ann ) to overcome the shortage of expert systems, and tries to solve the problem which has complicated relationship, fuzzy boundary questionably factor and expresses hard in regulation and mathematical model
但傳統專家系統只能處理顯性的表面的知識,存在推理能力弱,智能水平低,而且知識獲取難等缺點,所以本文引入了人工神經網路技術來克服傳統專家系統的不足,來試圖解決農業系統中存在的關系復雜、邊界模糊、不確定性強等難于用規則或數學模型嚴格描述的問題。The integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better
入侵檢測工作屬于分類識別問題,其中存在著大量的非線性問題,對入侵檢測資料進行綜合分析與分類,準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理,因此研製理想的非線性整合處理方法是非常必要的,而神經網路由於其內在的對不確定性的學習與適應能力,恰好能滿足入侵檢測工作分類識別的需求,另外神經網路的非線性映射能力也是保證其成功實現各種簡單或復雜分類的主要原因,它將信息分散式存儲于連結權系數中,使網路具有較高的容錯性和魯棒性。The several ones that have more lager sensitivity to embankment settlement are found out. then, aimed at the traditional three - layer bp network ' s shortages : easily getting into local minimum value and slow convergence, the modification combined momentum method with self - adaptation study velocity is made, and one improved bp network is put forward. finally, according to the results from above sensitivity analyses, the nonlinear model main parameters of each natural layer in roadbed are approximately rectified using the improved bp network technology founded on its stronger nonlinear mapping capacity and the settlement measurements
採用非線性有限元程序,對鄧肯-張模型中8個參數與路堤沉降的關系進行了詳細分析,找到了影響沉降的主要參數;接著,針對傳統的三層bp網路具有收斂速度慢、易陷入局部極小點等不足,對其進行了修正,提出了改進的bp神經網路模型;最後,根據上述靈敏度分析結果,基於改進的bp網路模型較強的非線性映射能力和前期沉降實測資料,對路基中各天然土層的非線性模型主要參數進行了反分析修正; ( 4 )路堤沉降計算一維法中考慮應力歷史、側向變形的研究。However, some problems still exist : the ambiguous aim and weak measures in some urban community, non - systematization of cultural activities in some urban community, the inadequate fostering function in some urban community, the weak sense of recognition of urban inhabitants, the incompletion of leading system and working mechanism, the stagnancy of cultural facilities. the causes for these problems include : some leader ' s limited knowledge about the importance and emergency of culture and ideology in urban community, insufficiency and in investment and exploitation of community resource, disorder of maning system, the poor quality of basic - level leader, so on and so forth
但也存在著一些問題,這些問題主要有:一些城市社區精神文明建設目標不明確,措施不得力;一些城市社區精神文明創建活動未能制度化、經常化;一些城市社區精神文明建設的教育功能未能得到充分發揮;社區居民認同意識薄弱,主動參與不夠;社區精神文明建設的領導體制、工作機制不夠完善;文化設施建設嚴重滯后等。產生這些問題的主要原因包括:部分領導對城市社區精神文明建設的重要性與緊迫性認識不夠;經費投入不足,社區資源開發利用不夠;條塊分割的管理體制一直沒有理順;基層幹部素質普遍偏低等。Then a kind of fuzzy - smith control strategies for a large dead - time system is studied and improved. the simulation results show that the fuzzy - smith control method has some excellent performances, which is suitable for systems with deadtime - varying parameters. considering that the conventional fuzzy has a shortcoming of invariable fuzzy rules, an algorithm of adjustable fuzzy rules based on a single neural cell is proposed in this paper, which is used for modifying the fuzzy control query table on - line
本文分析了模糊控制、神經網路和常規控制演算法存在的不足,研究了如何將各演算法的優勢互補,相互融合,形成復合的自適應智能控制演算法;針對大時滯系統的特點研究了fuzzy - smith控制演算法,並在前人基礎上做出了一定的改進研究,進一步提高了fuzzy - smith控制演算法的性能;又將常規pid與神經網路有機結合,研究了單神經元pid控制演算法:針對常規模糊控制不可調整模糊控制規則的局限,本文利用單神經元的自適應、自學習能力對模糊規則庫進行了間接在線自調整。When severe hypokalemia is coupled with pain, which can not only induce neuroendocrine stress response but also cause arrhythmias, the impact should not be overlooked because aggravated arrhythmia may ensue
在嚴重低血鉀的情形下,若再加上本來就足以引起神經內分泌壓力反應與心律不整的疼痛,可能會造成更嚴重的心律不整,其影響不容忽視。The theory is dissatisfied with the explanation of explicit learning about the learnign process, but quests for the best way to study from the medium - functioning internal psychological structure and mechanism stimulating cerebual nervous reaction
該理論不再滿足於外顯認知對于學習過程的解釋,而力求從刺激大腦神經反應間起中介作用的內部心理結構和機制來尋求學習的最佳途徑。分享友人