In the last chapter , a neural computing algorithm for bit rate control is designed 在本文最后一章里,提出一種利用神經(jīng)計算進行視頻輸出碼率控制的算法。
It can complete the logic deduction procession using the theory of neural computing . last , the different functional parts of the diagnosis system are discussed 最后,本文分別介紹了該故障診斷系統(tǒng)的各功能模塊,并完成了診斷系統(tǒng)的合成。
The innovation of the thesis as follows : advances the generalized computing theory that combines symbolic computing with neural computing , fuzzy computing and evolutionary computing 本文的價值在于:提出了融符號計算、神經(jīng)計算、模糊計算和演化計算于一體的廣義計算理論。
In the engineering application of ci , two methods of evolutionary computing and neural computing the fourier factors are proposed which redound to the application of fourier transformation to the engineering 在計算智能的工程應(yīng)用方面,本文提出了fourier系數(shù)的進化計算和神經(jīng)計算兩種智能計算方法,為fourier變換的工程應(yīng)用提供了方便。
Neural network ensemble can significantly improve the generalization ability of learning systems through training a finite number of neural networks and then combining their results . it is not only helpful for experts to investigate machine learning and neural computing but also helpful for engineers to solve real world problems using neural network techniques 神經(jīng)網(wǎng)絡(luò)集成通過訓(xùn)練多個網(wǎng)絡(luò)并將其結(jié)論進行合成,可以顯著地提高學(xué)習(xí)系統(tǒng)的推廣能力,它不僅有助于專家對機器學(xué)習(xí)和神經(jīng)網(wǎng)絡(luò)的深入研究,還有助于工程技術(shù)人員利用神經(jīng)網(wǎng)絡(luò)技術(shù)來解決現(xiàn)實世界中的問題。