精神遺傳學 的英文怎麼說

中文拼音 [jīngshényízhuànxué]
精神遺傳學 英文
psychiatric genetics
  • 精 : Ⅰ形容詞1 （經過提煉或挑選的） refined; picked; choice 2 （完美;最好） perfect; excellent 3 （細）...
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 精神 : 精神1 （指人的意識 思維活動和一般心理狀態） spirit; mind; consciousness 2 （宗旨; 主要意義） esse...
  • 遺傳學 : genetics; hereditism遺傳學家 geneticist
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. The horrible paradox in this almost four - century - old play of man s constitutional inability to foresee consequences while in hot pursuit of what he calls " truth " is that as each discovery of this truth has brought man close and close to his own extinction either through the prospects of physical destruction or psychological maltransformation or biogenetic tampering, science itself remains supremely and arrogantly confident of its limitless purposes and indeed has the full support and encouragement of governments, industrial entrepreneurs and peoples generally, all of whom continue to believe in its doubtful benefits

    將近四世紀以來，人類熱中追求於他所謂"真理"這個人類天生無法預見後果的游戲里，可怕的矛盾存在於，每次真理的發現，或經由預期身體的滅亡或精神惡化或擅改生物遺傳，都帶領著人類，一步一步地接近人類自身的滅絕;然科學本身，對其無限的目的，仍高傲無上地維持其自信，而且，全然保有來自，政府，企業，及普遍人們的支持與鼓勵，他們都仍然相信那其實很可疑的益處
  2. A cytogenetical study in schizophreniacs and the health individual of inner mongolia

    內蒙古地區精神分裂癥患者的細胞遺傳學研究
  3. It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  4. Advances in molecular genetics of aggresive behavious

    精神分裂癥攻擊行為的分子遺傳學研究進展
  5. 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。
  6. Large quantities of writers have given up the " since long foring " state that indulge in self - admiration, it is united by marriage with the media to begin, join ranks that news scalp, masses media come satisfied material desire to expand limitlessly through publishing house and movie & tv, etc. ; some authoress reduce posture go and cater to common customs standard, but also to deep and remote and bold and wanton spy brush stroke in chinese painting and calligraphy have individual privacy, the literary world is packed with the atmosphere one share vulgar and low ; writer dullness and self - criticism spirit of imagination forget and force the literary creation to get used to simple duplicating

    一大批作家放棄了孤芳自賞的「自戀」狀態，開始與傳媒聯姻，加入了新聞炒作的行列，藉助出版社和影視等大眾傳媒來滿足無限膨脹的物質慾望；部分女作家不僅降低姿態去迎合世俗標準，而且筆觸往個人隱私的探幽更為大膽放肆，文壇充斥著一股粗俗低下的風氣；作家想象力的單調和自我批判精神的遺忘迫使文學創作習慣于簡單的復制。
  7. Finally, the paper has designed the program of bp neural networks, neural networks based genetic algorithms and hybrid intelligence learning algorithms in vc + +, and applied those algorithms to the xor problem, the function approximating problem and the explaining high difference seismic data problem. the experiment results have showed that hybrid intelligence learning algorithm for training neural networks is better, faster and more accurate than bp algorithm and genetic algorithm

    最後，用vc + +語言設計了bp神經網路、基於遺傳演算法的神經網路和混合智能學習法神經網路實現和進行計算機模擬運行程序，並分別將它們應用於解決異或、函數擬合和高解析度地震資料解釋等問題，從實踐中證明混合智能學習法神經網路與bp神經網路和基於遺傳演算法的神經網路相比有更好的運算性能、更快的收斂速度和更高的精度。
  8. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  9. Abstract : it is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    文摘:在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  10. The article related research achievenment on the molecular genetics of mental disease and spirits obstruction, expounds the molecular genetics basis and the mechanism of result in mental disease from chromosome aberration, gene mutation, dynamic mutation and genetic heterogeneity, etc

    文章綜述了當前對精神病和精神障礙的分子遺傳學研究成果，從染色體畸變、基因突變、遺傳的異質性等方面闡明精神病發生的復雜的遺傳背景和機制。
  11. By means of the proposed reinforcement learning algorithm and modified genetic algorithm, neural network controller whose weights are optimized could generate time series small perturbation signals to convert chaotic oscillations of chaotic systems into desired regular ones. the computer simulations on controlling henon map and logistic chaotic system have demonstrated the capacity of the presented strategy by suppressing lower periodic orbits such as period - 1 and period - 2. meanwhile, the periodic control methodology is utilized, the higher periods such as period - 4 can also be successfully directed to expected periodic orbits

    該控制方法無需了解系統的動態特性和精確的數學模型，也不需監督學習所要求的訓練數據，通過增強學習訓練方式，採用改進遺傳演算法優化神經網路權系數，使之成為混沌控制器，便可產生控制混沌系統的時間序列小擾動信號，模擬實驗結果表明它不僅能有效鎮定混沌周期1 、 2等低周期軌道，而且在周期控制技術基礎上，也可成功將高周期混沌軌道（如周期4軌道）變成期望周期行為。
  12. Molecular and cellular mechanism of parkinson ' s disease ( pd ), drug therapy, surgical therapy, epidemiology of pd, genetics of pd, rehabilitation of pd, psychiatric aspects of pd and alternative medicine of pd

    帕金森病的神經生物學、內科藥物治療、外科治療、流行病學、遺傳學、康復治療、精神狀態的處理和老年人帕金森病的治療和康復。
  13. The software in which the neural network is realized is designed in the paper, and with two - link planar manipulator, the feasible and effective of using ga to learn the weights of nn is studied, simulations show that the proposed method improves considerably the inverse kinematic solutions for robot manipulator and guarantees a rapid global convergence

    本文對用軟體實現該神經網路進行了程序設計，並用兩桿平面機械手對應用遺傳演算法學習神經網路的權系數的可行性和有效性進行了模擬研究，模擬結果表明，該方法可極大地提高機械手逆運動學解的精度，確保快速達到全局收斂。
  14. ( 2 ) combining secondary genetic algorithm with back - propagation network, the thesis redacts genetic neural network procedure, which optimizes number of hidden node and weight value and threshold value simultaneously. the procedure overcomes blindness during search, avoids falling into localminimum and increases learning accuracy

    （ 2 ）編寫了遺傳神經網路ga - bp程序，採用二級遺傳演算法與bp演算法相結合，同時優化網路隱層節點數和權值、閾值，既克服了尋優過程的盲目性，又避免陷入局部極小，提高了網路的學習精度。
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