modular neural network造句
例句與造句
- a modular neural network architecture based on parallel cooperation
并行協(xié)作模塊化神經(jīng)網(wǎng)絡(luò)體系結(jié)構(gòu) - moreover, various theoretical explanations proposed recently justify the effectiveness of some conventional methods for modular neural network
而且最近所提出的各種理論解釋也都證實(shí)了一些常用模塊化方法的有效性。 - in this paper, the first aspect is mainly studied, a scheme of selective ensemble is presented, and a new architecture of modular neural networks is presented
本文的工作主要集中在結(jié)論合成方面，提出子網(wǎng)絡(luò)選擇性集成的方案，提出一種新的層次模塊化神經(jīng)網(wǎng)絡(luò)模型。 - modular neural network is a new learning model based on multi-agents, whose decisions are combined in a fashion of competition and cooperation of a number of artificial neural networks
模塊化神經(jīng)網(wǎng)絡(luò)是一種由多個智能體組成的學(xué)習(xí)機(jī)模型，是由多個神經(jīng)網(wǎng)絡(luò)以協(xié)作或競爭的方式構(gòu)建的學(xué)習(xí)系統(tǒng)。 - the research for modular neural network concentrates on two aspects : how to combine the decisions of the component networks, and how to generate the component networks in the entire system
當(dāng)前，模塊化神經(jīng)網(wǎng)絡(luò)的研究主要集中在兩個方面，即如何將多個神經(jīng)網(wǎng)絡(luò)的輸出結(jié)論進(jìn)行結(jié)合以及如何生成系統(tǒng)中的個體網(wǎng)絡(luò)。 - It's difficult to find modular neural network in a sentence. 用modular neural network造句挺難的
- in chapter 3, problems of adaptive combination are discussed . in chapter 4 a new architecture of multiple neural networks based on modularity is presented, which is named hierarchical modular neural networks
第四章，本文應(yīng)用分而治之的思想提出了一種層次模塊化神經(jīng)網(wǎng)絡(luò)新方法?三層結(jié)構(gòu)的模塊化神經(jīng)網(wǎng)絡(luò)模型，在提高算法性能方面有一定優(yōu)勢。 - a great deal of successful applications demonstrates that modular neural network outperforms single neural network in terms of generalization and reliability and undoubtedly provides for us with a new tool for problem-solving
大量的實(shí)例研究表明，模塊化神經(jīng)網(wǎng)絡(luò)在泛化能力和可靠性上比單一神經(jīng)網(wǎng)絡(luò)都有所提高，為我們提供了一條問題求解的新途徑。 - the laboratory has proposed several speaker recognition methods involving computational auditory models, modular neural networks, gaussian mixed models, hidden markov models, and implemented a recognition framework combining semantic and voiceprint information
實(shí)驗(yàn)室提出了基于聽覺計(jì)算模型、模塊化神經(jīng)網(wǎng)絡(luò)、高斯混合模型、隱馬爾科夫模型等說話人識別方法，以及結(jié)合語義和聲紋信息的說話人識別框架。 - at the same time, the robust algorithm of modular neural networks is studied . this paper composes five chapters in all . chapter 1 expatiates the probability and necessity of the generation of modular aeural networks from the viewpoints of commands, neurobiology and social science
第一章，本文首先從需求，神經(jīng)生理學(xué)和社會科學(xué)等角度闡述了模塊化神經(jīng)網(wǎng)絡(luò)出現(xiàn)的可能和必然，然后從理論與應(yīng)用兩個方面介紹了模塊化神經(jīng)網(wǎng)絡(luò)的研究現(xiàn)狀及應(yīng)用前景。 - in chapter 2 a robust learning algorithm of modular neural networks based on the theory of robust regression is presented . empirical study demonstrates that the robust learning algorithm of mnn has better precision and generalization than both modular neural networks and single neural network with the same robust algorithm, when trained under the contained dada
第二章，本文提出了一種模塊化神經(jīng)網(wǎng)絡(luò)的魯棒學(xué)習(xí)算法，實(shí)驗(yàn)研究表明模塊化神經(jīng)網(wǎng)絡(luò)的魯棒學(xué)習(xí)算法對于污染樣本的學(xué)習(xí)能獲得較好的魯棒性能和較高的學(xué)習(xí)精度，特別是在模型較復(fù)雜時，該算法的效果尤為明顯。 - in chapter 2 a robust learning algorithm of modular neural networks based on the theory of robust regression is presented . empirical study demonstrates that the robust learning algorithm of mnn has better precision and generalization than both modular neural networks and single neural network with the same robust algorithm, when trained under the contained dada
第二章，本文提出了一種模塊化神經(jīng)網(wǎng)絡(luò)的魯棒學(xué)習(xí)算法，實(shí)驗(yàn)研究表明模塊化神經(jīng)網(wǎng)絡(luò)的魯棒學(xué)習(xí)算法對于污染樣本的學(xué)習(xí)能獲得較好的魯棒性能和較高的學(xué)習(xí)精度，特別是在模型較復(fù)雜時，該算法的效果尤為明顯。 - having recognized that modular neural network has an enormous potential and bright prospect in application, a large number of researchers plunge themselves into the field, yielding a lot of relevant theories and application achievements . at present modular neural networks is a rathers hot topic in many diverse areas such as pattern recognition, neuro-computation, machine learning, information processing
由于認(rèn)識到模塊化神經(jīng)網(wǎng)絡(luò)所蘊(yùn)含的巨大潛力和應(yīng)用前景，大量研究者涌入該領(lǐng)域，理論和實(shí)踐成果不斷涌現(xiàn)，使得模塊化神經(jīng)網(wǎng)絡(luò)成為目前許多領(lǐng)域的一個相當(dāng)活躍的研究熱點(diǎn)，譬如模式識別、神經(jīng)計(jì)算、機(jī)器學(xué)習(xí)、信息處理等。 - having recognized that modular neural network has an enormous potential and bright prospect in application, a large number of researchers plunge themselves into the field, yielding a lot of relevant theories and application achievements . at present modular neural networks is a rathers hot topic in many diverse areas such as pattern recognition, neuro-computation, machine learning, information processing
由于認(rèn)識到模塊化神經(jīng)網(wǎng)絡(luò)所蘊(yùn)含的巨大潛力和應(yīng)用前景，大量研究者涌入該領(lǐng)域，理論和實(shí)踐成果不斷涌現(xiàn)，使得模塊化神經(jīng)網(wǎng)絡(luò)成為目前許多領(lǐng)域的一個相當(dāng)活躍的研究熱點(diǎn)，譬如模式識別、神經(jīng)計(jì)算、機(jī)器學(xué)習(xí)、信息處理等。