數學神經元 的英文怎麼說
中文拼音 [shǔxuéshénjīngyuán]
數學神經元
英文
mathematical neuron-
Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node
首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。Meanwhile physiologists and biochemists were finding that glia had receptors for many of the same neurotransmitters neurons use for synaptic communication, as well as most of the ion channels that enable neurons to fire action potentials
同時，生理學家與生化學家也發現，神經膠細胞有受體，可以接受神經元用以做突觸溝通的許多神經傳遞物，它們也同樣有大多數神經元用來產生動作電位的離子通道。Furthermore, due to the symmetry restriction of traditional radial basis function networks ( rbfn ) with gaussian function, the asymmetric gaussian basis function ( agbf ) is proposed to construct the full adaptive agbfn. because the asymmetry gaussian function ' s variability and malleability are higher than the traditional one, the asymmetry gaussian basis function can provide the agbfn which own a higher flexibility and can approach the true result more easily
針對這一問題，文中提出了一種全自適應的不對稱高斯基函數網路（ agbfn ）結構，網路的基函數採用具有不對稱寬度的偽高斯函數，和常規的高斯函數相比，具有更大的可變性和延展性，從而使得隱層神經元在函數近似上具有更高的適應性，提高了神經網路的學習能力。Fos + / th + / gfap + and fos + / vp + / gfap + triple labeled n - asc could be found in the mvz, pvn and son respectively ; ( 2 ) under electronic microscope, the astrocytic processes connected closely with the dendrites or axons of the neurons, where the bilateral membranes became thick. we call transiently it electron - dense areas ( edas ). the number of edas increased remarkably following hyperosmotic stimulation ; ( 3 ) when trace retrogradely, wga - hrp was microinjected into the unilateral son, pvn or nucleus of solitary tract ( nts ) respectively using the stereotaxic method, the n - ascs formed by the neurons triple - labeled with hrp / fos / th ( or vp ) and astrocytes labeled with gfap could be found in the mvz, son and pvn respectively ; ( 4 ) after being treated with heperosmotic nacl solution, intracellular calcium concentration in cultured hypothamic neurons and astrocytes increased and then decreased
腦內gfap陽性結構也明顯增多，其分佈與fos陽性細胞分佈基本一致，表現為胞體肥大、突起粗長； ast緊密包繞在神經元周圍形成神經元- ast復合體（ n - asc ） ；在mvz 、 pvn和son三重免疫組化染色切片上可見到fos + th + gfap +第四軍醫大學博士學位論文和fos vp gfap三重標記asc ； （ 2 ）免疫電鏡下son內星型膠質細胞突起與神經元樹突或軸突之間接觸部位出現增厚的膜結構一電于緻密區（ edas ） ，高滲刺激后數量明顯增多： （ 3 ）將們個mp注入大鼠一側n卜、卜卜或孤束核（ ws ） ，分別在延髓內臟帶（ mvz ） 、 so和pvn內出現fos hrp th 、 fos hrp八p三重標記神經元和gfap陽性標記ast形成的n asc ； （ 4 ）高滲刺激使培養神經元和ast內鈣水平先升高后降低，最後維持在比高滲刺激前稍高的靜息鈣水平上。First we introduce its basic idea, typical activating functions, learning rules and its main application : classification & c1ustering, associated memory and optimiza tion
我們先簡要介紹了人工神經元網路的基本思想，典型激活函數，學習規則和主要應用：分類聚類，聯想記憶和優化。It showed that activated inhibition by weak noise could be gabaergic inhibition. from above the findings, we could give a hypothesis that the input of random oscillation induced by noise in the cochlea to central auditory system could be integrated in the central auditory nucleus and the response of sound - sensitive neuron to sound stimuli could be adjusted to an optimum state for signal intensity coding
根據這些變化可以推測，這種背景噪聲的生物學作用可能是通過弱噪聲所引起的耳蝸隨機共振的輸入，在上行過程中經各級聽覺核團的整合，將中樞聲敏感神經元調定在一種準備狀態，並定型放電率函數和調制神經元對聲馨碩士學位論文master 』 st砰iesis強的編碼。This thesis has studied the dynamic features of a class of the discrete - time neural network model of two neurons, such as the convergence and periodicity and etc. the function of the neuron signal transmission in this model, which belongs to three piecewise constant argument, indicates the following charactersif the signal of one neuron on the network is active between a and b, it will produce invariable encouragement effect on another neuron ; if the signal of one neuron is lower than a, it will produce invariable restrain effect on another one, if the signal of one neuron is higher than b, it will produce no effect on another one
本文研究了一類二元離散人工神經網路模型的解的收斂性及周期解的存在性等動力學特徵。該模型的神經元信號傳遞函數是三段常數不連續函數。這種信號傳遞函數表明如果某神經元的信號在a與b之間活躍，則它對另一個神經元產生恆定的激勵效果，如果某神經元的信號低於a ，則它對另一個神經元產生恆定的抑制效果，如果某神經元的信號高於b ，則它對另一個神經元不產生作用。According to the nonlinear dynamical features of isi series, the firing pattern can be described as : ( 1 ) periodic firing pattern, which was characterized by repeated appearance of isi at regular interval. ( 2 ) bursting firing pattern, which was characterized by bursting interrupted by silent periods. isis of the action potential during the bursts were confined to a banding area
在觀察到的101例損傷drg神經元自發放電中，依據其動作電位isi的動力學特徵，可分為周期，其isi基本相等；陣發，在短陣放電之間有不規則的間斷；不規則，其isi互不相等；整數倍，其isi為基礎isi第四軍醫大學碩士論文的整數倍等四種基本型式。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 solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis
為了逐一解決這些困難，運用了色彩空間變換以及bp神經元網路的方法對圖像進行分類和閾值處理，利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙連接、鏈碼、種子填充、邊界擬合等處理。The present studies aimed to find the responses of neurons and glias in the target and other brain areas of the linear accelerator - irradiated rats. in the first experiment, time - dependent neurons changes in the brain after hemispheric irradiation at an single - fraction maximal dose of 20 gy were observed by investigating the expression of an immediate early gene, fos protein. the results shown : compared with that of the un - radiated rats, the expression of fos protein in the irradiated brain decreased distinctly 24 hours and 1 week after irradiation
首先，利用即刻早期基因fos的表達，做了同一照射劑量（ 20gy ）照射大鼠半腦后不同存活期間（ 1d ， 7d ， 14d ， 2ld ， 28d ）大鼠全腦神經元動態變化的觀察，發現：受照射后1d 、 7d大鼠腦內各部位fos蛋白表達均明顯減少，隨著時間的延長，其fos免疫反應性細胞數量逐漸增加，照射后28d ，延髓、第四軍醫大學碩士學位論文腦橋內hs免疫陽性細胞數量恢復並超過正常對照組水平，但中腦、間腦及端腦內未恢復到正常對照組水平。We then present our mathematicaj model of nest building using randomlyconnected neural network
然後提出我們用隨機連接的神經元網路描述的昆蟲築巢的數學模型。There are lots of non - linear systems in the nature. because classical and morden control methods have common limitation : mathematical model of the plant has to be known in advance. but in fact many plants are intricate uncentaintied and time - varying. in addition, they also are non - linear. though there are methods of system identification in control theories, the identification theories and ways of non - linear and time - varying system are not mature and systematic. it is very difficult to carry out effective real - time control. the neural networks can approximate random non - linear relations and study by itself, and it provides new thoughts and new ways for solving these problems
由於經典和現代控制方法存在一個共同的局限性：就是要求預先知道被控對象的數學模型，但實際上許多對象具有復雜的不確定性和時變性；此外還具有復雜的非線性。雖然在控制理論中有系統辨識的手段，但是對于非線性時變系統尚無成熟的和系統的辨識理論與方法，要實行有效的實時控制就很難了。人工神經元網路有表示任意非線性關系和自學習等能力，給解決這些問題提供了新思想和新方法。Based on the aerodynamics, control, structural dynamics model of smart rotor in frequency domain deduced and the determination for the number of neurons in hidden layer, the neuro - emulator using multiple independent miso neural networks with its deduced matrix expression for the smart rotor is set up. the rate of training is improved by introducing the orthogonal selection applying for smart rotor to the selection of training cases in neural modeling
試驗結果驗證了該方法的可行性，在建立了帶有主動控制后緣附翼的智能旋翼系統氣動-控制-結構動力學數學模型的基礎上，提出了適用於智能旋翼建模的多神經網路並聯型式的頻域模型，並推導出其矩陣表達式，探討了隱含層神經元數的確定方法。And it would be applied to other blast furnaces after some modifications. to improve the quality of the model, some methods should be used in future : l. impoving the database and making it have more information. 2. considering the mass and thermal accumulation and calculating the effect of the data of every period
2 、模型在作動態計算時，使用日平均數據來調整參數，而用即時的數據來計算預測值，這種方法盡管有一定的科學性，但要提高模型的準確性，必須考慮到高爐內物料和熱量的積累，考慮各個時段入爐物料對化學平衡和熱平衡的影響，根據專家系統和神經元網路的方法，得到更為完善的模型。On the other hand, inhibitory areas of ftc could be abolished partially or completely during bicuculline application. these results showed that gabaergic inhibitory afferent projections to recorded neurons were activated by random resonance caused by weak noise in cochlea, which provided inhibitory input for sharpening frequency tuning and made neuron more precisely analyze sound signal near its bf. therefore, this experiment presented a possible evidence of cellular level for interpreting why human and animal could extract or capture sound signal of specific frequency from the environment with competing noise
說明山弱噪聲引起的耳蝸隨機共振在_ _仁行傳入過程中可能激活了至所一記錄的jc神經元的gaba能抑制性神經迴路，這種gaba能抑制為銳化神經元頻率調諧提供了一種抑制性輸入，使ic神經元對靠近最佳頻率的頻率分析變得更為細致和精確，由於聲頻率是聲信號的重要參數和信息載體，頻率調諧的銳化意味著對聲頻率分析能力增強，從而為解釋人們為什麼能從充滿噪聲的環境中捕捉或提取與行為學相關的信號提供了一種細胞水平的實驗證據。In this paper, the control system of industrial boiler widely used in industrial production was studied. aiming at the nonlinear object of industrial boiler with instability parameter and difficult building math model, combining fuzzy control theory and neural networks theory, a adaptive controller built with compensatory fuzzy neural networks to control industrial boiler is proposed
本文對于目前在工業生產中廣泛應用的工業鍋爐的控制系統進行了研究，針對工業鍋爐這種具有非線性、參數不穩定、難以建立精確的數學模型的控制對象，結合模糊控制理論和人工神經元網路理論，提出用補償模糊神經網路構造自適應控制器實現對工業鍋爐的過程式控制制。Suggesting that the sensitivity of ic neuron to intensity change was weaker under the quiet conditions than the noise environment. it makes benefit to catch the rapid intensity fluctuations, which are thought to be important information - bearing parameters for signal processing, in human speech of " cocktail party effect " and specific communication signals of other species
盡管弱噪聲抑制使神經元感受強度的范圍縮小，但對強度變化的敏感性卻提高，這對人在「雞尾酒會」場景下的言語交流和動物在充滿噪聲的自然環境中的聲通訊，捕捉重要的信息載體參數一信號強度以及感受強度的動態變化的能力提供了生物學基礎和演化適應的證據。Tissue sections from every animal were double - labeled with the antibodies of map - 2, cox - 2, gdnf, caspase - 3 and either the neuron - specific antibody neuronal nuclear protein ( neun ) or the astroglial - specific marker glial fibrillary acidic protein ( gfap ). we carried out a series of research to explore the effects and mechanism of map - 2, cox - 2, gdnf, caspase - 3 during tbi and trie d to provide some useful theory basis for both the treatment of tbi in the practice and forensic medicine
並通過上述指標分別與神經元特異性標志物神經元核蛋白（ neuronalnuclearprotein ， neun ）和星形膠質細胞特異標志物膠質纖維酸性蛋白（ glialfibrillaryacidicprotein ， gfap ）進行免疫組織化學雙染色，探討腦損傷后神經元及神經膠質細胞反應性變化情況及其分子生物學機制，以期為腦損傷研究提供有益的數據材料，也為以上指標在法醫學實際檢案的應用提供必需理論依據。Bp model can quite improve the accuracy of pricing result ; 2. need to confirm the number of the hidden layer of neuron rationally ; 3. should confirm population size rationally while optimizing ann ; 4
基本結論如下： （ 1 ） bp模型能夠提高定價結果的準確度；武漢理工大學碩士學位論文（ 2 ）建模需要合理確定隱含層神經元數目; （ 3 ）優化網路應恰當確定初始群體規模; （ 4 ）優化網路需要合理設計交叉運算元。分享友人