neuron network造句
例句與造句
- Artificial neuron network and its application to financial forecasting
人工神經(jīng)網(wǎng)絡(luò)及其在金融預(yù)報(bào)中的應(yīng)用 - Electronic neuron network simulation
電子神經(jīng)網(wǎng)仿真 - Auto - navigating virtual tracklayer based on genetic artificial neuron network
基于遺傳神經(jīng)網(wǎng)絡(luò)的虛擬履帶車輛自主導(dǎo)航 - Artificial neuron network ; generalized cross validation ; exchange rate forecasting
人工神經(jīng)網(wǎng)絡(luò)廣義交互驗(yàn)證法匯率預(yù)報(bào) - The back - propagation algorithm and its program of the rough neuron network are presented
本文同時(shí)給出了粗神經(jīng)網(wǎng)絡(luò)bp算法和用粗神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)上證指數(shù)的程序。 - It's difficult to find neuron network in a sentence. 用neuron network造句挺難的
- The simulation result shows that the quantum neuron network is superior to classical bp and rbf network for the financial data analysis example
仿真結(jié)果顯示，就算例而言，該量子神經(jīng)計(jì)算網(wǎng)絡(luò)的性能優(yōu)于傳統(tǒng)的神經(jīng)網(wǎng)絡(luò)。 - The paper introduces a recognition method based on artificial neuron network , and a large number of tests are done , the result is satified
通過對(duì)人工神經(jīng)元網(wǎng)絡(luò)的研究與學(xué)習(xí)，提出了一種基于神經(jīng)網(wǎng)絡(luò)的數(shù)字識(shí)別方法，并作了大量的試驗(yàn)，取得了滿意的結(jié)果。 - A predictive model of flow rate for pumping stations based on the neuron network theory and an optimal operation model of pumping stations based on the hereditary algorithm were proposed
摘要利用改進(jìn)的神經(jīng)元網(wǎng)絡(luò)構(gòu)建了泵站流量以及效率預(yù)測(cè)模型，并利用改進(jìn)的遺傳算法構(gòu)建了泵站優(yōu)化模型。 - Because the adaptive neuron network pid arithmetic need caculate many parameters and a normal slow speed cpu cannot process program on real time , samsung s3c44box cpu is selected
由于自適應(yīng)的神經(jīng)網(wǎng)絡(luò)pid算法計(jì)算的參數(shù)很多，一般的低速cpu不能實(shí)時(shí)處理，因此本文采用samsung公司的s3c44boxcpu 。 - Neuron network model is constructed to predict crystallization kinetics data , based on the crystallization kinetics data of the system with ciprofloxacin hydrochloride , h2o and ethanol
摘要以鹽酸環(huán)丙沙星、水和乙醇三元物系所得的結(jié)晶動(dòng)力學(xué)數(shù)據(jù)為基礎(chǔ)，建立了一個(gè)預(yù)測(cè)結(jié)晶動(dòng)力學(xué)數(shù)據(jù)的神經(jīng)網(wǎng)絡(luò)模型。 - Procedure neural networks ( pnn ) is a novel artificial neuron networks model . it is based on information processing pattern of biological neural system and application background of practical matters
過程神經(jīng)元網(wǎng)絡(luò)是根據(jù)生物神經(jīng)系統(tǒng)信息處理機(jī)制并結(jié)合實(shí)際問題的應(yīng)用背景提出的一種新的人工神經(jīng)網(wǎng)絡(luò)模型。 - Because too much samples for training artificial neuron network are demanded , uniform design method is used to produce samples in order to reduce the amount of samples in the process of structural damage simulation
針對(duì)訓(xùn)練神經(jīng)網(wǎng)絡(luò)需要大量樣本的情況,在結(jié)構(gòu)損傷模擬的試驗(yàn)方案設(shè)計(jì)中,選用了均勻設(shè)計(jì)法構(gòu)造樣本以減少所需樣本數(shù)量。 - It has used to forecast the full - time teachers in higher educational institutions in zhejing province by grey model and the artificial neuron network . this paper has acquired the better calculation result based on the advanced bp algorithm
文中運(yùn)用人工神經(jīng)網(wǎng)絡(luò)的技術(shù)，采用改進(jìn)自適應(yīng)學(xué)習(xí)速率和動(dòng)量項(xiàng)系數(shù)的bp算法，對(duì)浙江省高等學(xué)校專任教師數(shù)進(jìn)行有導(dǎo)師的訓(xùn)練和預(yù)測(cè)。 - This paper not only adopts the adaptive neuron network pid arithmetic for the purpose of distinguish system parameters , but also brings forward expert system control ruler in order to overcome the disadvantage of slow speed constringency of neuron network on the basis of neuron network pid arithmetic
本文既采用了神經(jīng)網(wǎng)絡(luò)pid自適應(yīng)算法，發(fā)揮它辨識(shí)系統(tǒng)參數(shù)的能力，又在其基礎(chǔ)上提出了專家系統(tǒng)控制規(guī)則，以克服神經(jīng)網(wǎng)絡(luò)收斂慢的缺點(diǎn)。 - Considering the target function of the industry growing effect , we can draw the innovation system valuing model , which is solved by the pattern recognition method , including neurons networks , and heredity algorithm . after analyzing the innovation system samples , the thesis presents the judging model to recognize the samples character , and determines the importance order of all innovation sub indexes . consequently . it draws policy suggestions to improve the development of hebei ' s supporting industry
本文創(chuàng)新性的使用了模式識(shí)別方法(包括主成分分析、人工神經(jīng)網(wǎng)絡(luò)和遺傳算法)來(lái)求解這一模型，通過對(duì)區(qū)域樣本創(chuàng)新分量的統(tǒng)計(jì)分析，找出了樣本處于優(yōu)類區(qū)域的判據(jù)模型，從而確定了支柱產(chǎn)業(yè)產(chǎn)出效果處于最優(yōu)區(qū)間的各創(chuàng)新分量的重要性順序，由此給出了促進(jìn)河北省支柱產(chǎn)業(yè)增長(zhǎng)的配套政策建議。
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