智能學習 的英文怎麼說
中文拼音 [zhìnéngxuéxí]
智能學習
英文
intellectual learning-
In outpatient service of epileptic specialized subject, what secure relatively is have masterly the doctor that treats a technology, have unified diagnostic level, can have thorough analysis and research to diagnose and be being treated, hand - in - hand travel periodic is followed visit observation ; can the specific characteristic according to patient ' s condition of a certain patient, make individual change, the plan of diagnosis and treatment that has specific aim, build corresponding card, anamnesis and observation form to wait, for epileptic cure research was offerred convenient ; conduct propaganda concerns epileptic basic knowledge, reach birth arrangement to the patient ' s life, job, study, marriage, offer rationalize proposal ; make the patient ' s diagnosis, anthology medicine, dosage, usage, side - effect, curative effect, accompany behavior of disease, intellectual growth, spirit, mentation to wait to lie under close observation of the doctor
在癲癇專科門診，有相對固定的具有精湛治療技術的醫生，有統一的診斷標準，能對診斷和治療進行深入的分析和研究，並進行定期的隨訪觀察；能根據某個病人病情的具體特點，制定個體化、有針對性的診療計劃，建立相應的卡片、病歷及觀察表格等，為癲癇的治療研究提供了方便；宣傳有關癲癇的基本知識，對病人的生活、工作、學習、婚姻及生育安排，提供合理化建議；使病人的診斷、選藥、劑量、用法、副作用、療效、伴隨疾病、智力發育、精神行為、心理狀態等都處在醫生的嚴密觀察之下。This paper adopts an adaptive learning algorithm based on hierarchy clustering to update user profile, which continuously abstract the cancroids of one class of optimum information from the feedback flow of system, which effectively shield the learning process from plenty of feedback noises produced by distorted threshold and sparseness of initial information, which also can imitate artificial feedback approximately to perfect the intelligence of adaptive learning mechanism
摘要本文採用一種基於層次聚類的自適應學習策略，從系統反饋的信息流中，動態提取一類最優信息的質心更新用戶模型，有效屏蔽了閾值失真和初始信息稀疏造成的大量反饋噪聲，並且能夠近似模仿人工反饋，完善自適應學習機制的智能性。So we draw the conclusion that the new method can reduce the uncertainty and illegibility of tf idf method in many aspects without more work
山東帥范大學礬上畢業論文知識求精是知識獲取必不可少的步驟，機器學習是使計算機具有智能的有效手段， 0 。At the same time, the diophantine matrix equation is closed, which has strengthen the velocity of control, so the rapid system ' s control is got ; in addition, because the synthesis solution with artificial intelligence technology and adaptive control technolo - gy together is adopted, the whole loop system ' s ability of learning and adaptation is strong and the system ' s intelligence level is impro - ved, so the robustness ability is got
因此加快了控制速度，較好地解決了控制系統的快速性問題；另外加之此控制方案採用了人工智慧技術和自適應控制技術相結合的方法，增強了整個閉環控制系統的學習能力和自適應能力，提高了系統的智能水平，從而使閉環系統具有了強魯棒性的特點。According to the psychology about appreciation of beauty and the educational psychology, this teaching form has many functions : developing non - intelligential elements, such as interest, emotion, and motive ; improving the structre of thought. these are informing with the principle of teaching theory and quality - enhancing education
從審美心理學和教育心理學的角度上說，這種教學形式具有培養學生物理學習情感、興趣和動機等非智力因素，改善思維結構等功能，這正是符合物理教學論原則及素質教育要求的。13 selfridge o g. pandemonium : a paradigm for learning. in proc. the symp
作為人工智慧的一個重要分支，機器學習是利用機器模仿人類的智能行為。The researcher hypothesizes that by developing good study habits, students can balance the irrational distribution of psychological energy in the course of the operation of intelligence and skill, strengthen the sense perceptivity of reading and the productivity of mind, and minimize and gradually avoid negligence and carelessness
研究者假設通過學習習慣的訓練幫助矯正智力技能操作過程中不合理的心理能量分配關系，加強閱讀感知與思維操作以及監控的加工深度，減少疏忽與遺漏，最終克服粗心現象。Aiming at overcoming such deficiency, this article gives pilot study and discussion on how to realize " distance intelligent instruction system based on web ". through collecting the learning action learning fashion ^ knowledge comprehension information, learning time, test result and many other factors dynamically and putting these factors analyzed by self feed back system, then, after deducing, we can get learning ability, learning character, learning effect and some other results quickly, these results are sources to form learning content dynamically in order to meet the requirements of individual education
針對以上不足，本論文對如何實現「基於web的遠程智能學習系統」進行了初步研究、探討，通過動態收集學生的學習動作、學習方式、知識理解情況、學習時間、考試情況等諸多因素，經過自反饋系統的分析、推理，快速獲得學習者的學習能力、學習特徵、學習效果等反饋結果，為滿足個性化學習、動態形成最適合該學生的學習內容提供依據。In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed
在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。Firstly, we have put forward a mathematic form ? interest vector - to express the user ' s interest and have given a formula to calculate quantificationally the interest degree of interest item. secondly, we apply the method of reinforcement learning to intelligent learning agent to make it leam the user ' s interest more precision, more quickly and more efficiency, to make it discover the divert of the user ' s interest in time. thirdly, we have developed a mean of information search and filtrate on user ' s interest
這些研究工作主要體現在：提出用戶興趣的數學表示形式? ?興趣向量，並提出定量地計算用戶對興趣項的興趣度的計算方法；提出採用強化學習演算法，使智能學習agent能夠更準確，更快速和更高效地學習到用戶的興趣和及時發現用戶興趣的轉移；提出面向用戶興趣的信息搜索和信息過濾方法；提出一種基於對象的agent編程模式，也稱為用擴充oo建模技術或方法學的適用性來設計agent系統。Development of intelligent air - conditioning and refrigeration designing software for study
具有智能學習功能的空調製冷系統設計軟體的開發I analyze the request of curriculum arrangement, using intellect learning arithmetic ' s q - learning, designing an applied mathematics model to deal with this problem
本文對大學課表的排課要求進行了全面的分析，結合智能學習演算法的q學習演算法，設計出了課表編排問題的較為實用的模型。Self feed back model that adopt fuzzy deduce technology and fuzzy integrate judge mechanism is introduced in this article, it is the kernel function model of intelligent instruction system
論文的自反饋模型採用以模糊數學為基礎的模糊推理技術和模糊綜合評判機制，是智能學習系統的核心功能模塊。Therefore, self feed back model is a key technique to meet the demand of individual intelligent instruction system, and will be a stubborn base to make individual distance education popularize ^ spread and practice
自反饋模型較好解決了智能學習系統個性化要求的關鍵技術，為個性化遠程教育的普及與更好的推廣、實施打下了基礎。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。At the same time, i lead the multiple intelligences into the physics teaching and make some initial experiment and research, which are based on the multiple intelligences study both at home and abroad. in both the theory and the practice, i have achieved some achievements. according to the statistics and analysis of the experiment result
本文不僅從理論上論證了在中師物理教學中開發多元智能的必要性和可行性，而且在借鑒了國內外關于多元智能學習的經驗基礎上，將多元智能引入物理教學中，並在課堂教學和課題研究兩方面同時在中師物理教學過程中進行了初步的實驗探索，取得了一些成果。Thirdly, considering the characters of bp neural networks which is good at local minimum and bad in global optimization and the feature of ga neural networks which is bad in local minimum and good at global optimization, the paper proposes a new algorithm combined ga with bp, referred as to hybrid intelligence learning algorithm, which is applied to the problem optimizing the connection weight of the feedforward neural networks
第三，針對bp神經網路局部搜索能力強、全局搜索能力差和基於遺傳演算法的神經網路全局搜索能力強、局部搜索能力差的特點，本文提出了一種集bp演算法和遺傳演算法優點為一體的混合智能學習法，並將其應用到優化多層前饋型神經網路連接權問題。Architected in the easy english caf, the english theater and the english pub, this section is intended for comprehensive situational english experiencing and training, through multi - intelligence learning and activities, for both language acquisition and cultural assimilation prompted by designed or natural situations in business communication
以悠閑英語茶座、英語小劇場和英式酒吧為構造，實訓室第一部分適用於通過設計或自然的商務溝通情景，通過多智能學習和活動，進行綜合情景英語的體驗和訓練，實現語言發展和文化融合。The ability to learn and reason ; the capacity for knowledge and understanding
智力學習和推理的能力；對知識的理解力和領悟力We learn the way of wisdom is the way of flexibility. when we are so used to flexibility, so used to all kinds of sudden changes, we are so used to immediate action, spontaneous action, not preconceived action, that s the best way
任何都是習慣，當我們能學習到彈性變通的方式，面對所有突發的狀況時也習慣做立即自然的反應，而不是用成見去反應，那就是智慧的方式。分享友人