Application study of som artificial neural net in airliner fault diagnosis 人工神經(jīng)網(wǎng)絡(luò)在客機零部件故障診斷中的應(yīng)用研究
Predicting groundwater elevation of dashiban landslide area based on artificial neural net 的大石板滑坡區(qū)地下水位非線性預(yù)測
Research in cemented carbide cutting expert system based on artificial neural net 基于人工神經(jīng)網(wǎng)絡(luò)的硬質(zhì)合金切削專家系統(tǒng)的研究
Predictive model based on artificial neural net for fatigue performances of prior-corroded aluminum alloys 基于人工神經(jīng)網(wǎng)絡(luò)的預(yù)腐蝕鋁合金疲勞性能預(yù)測
Simulation of performance based on artificial neural net for air-source heat pump water heater chillers 基于人工神經(jīng)網(wǎng)絡(luò)的空氣源熱泵冷熱水機組的性能模擬
2 . artificial neural net ( ann ) is used in technical decision of expressway ground improvement for the first time . and ann model is setting up by using ann toolbox which the advanced calculation tool-- matlab provided 2.將人工神經(jīng)網(wǎng)絡(luò)(ann)用于高速公路軟基處理的技術(shù)決策,采用先進的計算工具matlab提供的ann工具箱來建立ann模型。
artificial neural net ( ann ) is used in technical decision of expressway ground improvement . decision model based on back propagation neural network and decision model based on adaptive resonance theory are set up for the first time, the result proves that ann decision models are valid and easy realization 將人工神經(jīng)網(wǎng)絡(luò)(ann)用于高速公路軟基處理的技術(shù)決策,建立了基于bp神經(jīng)網(wǎng)絡(luò)的高速公路軟基處理方案決策模型和基于art神經(jīng)網(wǎng)絡(luò)的高速公路軟基處理方案決策模型。
This paper sets up the formation mechanism mode of the carrier causing transportation catastrophe through studying the reason, character and regulation of the vehicle and ship causing the road, water transportation catastrophe . through demonstration investigation, the " shortcomings of existing carrier management system in the road, water transportation is found . using the forewarning management theory, the theory system of the carrier causing transportation catastrophe . inspecting index system and artificial neural net evaluate ( ann ) model is set up . this paper also offer the forecontrolling countermeasure correlation to the inspected status . finnaly, a software edited with powerbuild7.0 and fortran ? 并通過實證調(diào)查,揭示現(xiàn)有公路、水運交通載運工具的管理體系弊端,在此基礎(chǔ)上,運用預(yù)警管理理論,構(gòu)建了交通災(zāi)害中載運工具的預(yù)警管理體系,由此建立了區(qū)域交通載運工具安全管理狀況的預(yù)警監(jiān)測指標(biāo)體系和人工神經(jīng)網(wǎng)絡(luò)處理評價模型,建立了相關(guān)監(jiān)測狀況下的預(yù)控對策原則。
The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf . in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent . it indicates that the ann's efficiency and precision by the way can be ameliorated by the simulation of real data 神經(jīng)網(wǎng)絡(luò)方法在短期預(yù)測中已經(jīng)被公認為較有效的方法,本文針對神經(jīng)網(wǎng)絡(luò)用于電力系統(tǒng)短期負荷預(yù)測的幾個方面展開研究工作:第一部分研究一般用于負荷預(yù)測的神經(jīng)網(wǎng)絡(luò)bp模型的算法,即對傳統(tǒng)的bp算法的改進,將一種基于模式逼近度和接受概率的變步長快速bp算法應(yīng)用到短期負荷預(yù)測,仿真結(jié)果表明該方法有效的改善了bp算法收斂速度慢以及容易陷入局部最小點的缺點,從而提高了神經(jīng)網(wǎng)絡(luò)用于負荷預(yù)測的效率和精度。
Firstly, aiming at the state of intelligent structure the art on the theoretic and applied research work, clearly define the conception of the intelligent structure; discuss the components of the intelligent structure; introduce the characteristic of artificial neural net ( ann ) which is used on the civil engineering structure; discuss the method that is suit to the intelligent structure-mode identification based on ann; discuss the research content of the intelligent structure; and both the characteristic of the intelligent structure design and its flow chart are discussed 本文對智能結(jié)構(gòu)的理論框架及其健康狀態(tài)的檢測與監(jiān)測進行了一些探索和研究。首先針對智能結(jié)構(gòu)的理論和應(yīng)用研究現(xiàn)狀,明確地闡明了智能結(jié)構(gòu)的定義和概念,全面論述了智能結(jié)構(gòu)構(gòu)成要素;論述了智能結(jié)構(gòu)健康診斷的實現(xiàn)方式??人工神經(jīng)網(wǎng)絡(luò)的模式識別法;論述了智能結(jié)構(gòu)的研究內(nèi)容,指出了智能結(jié)構(gòu)的設(shè)計特點及流程。