Optimization strategy based on intelligent integrated chaotic-neural networks algorithm 一種基于退火策略的混沌神經(jīng)網(wǎng)絡(luò)優(yōu)化算法
Chaotic neural network algorithm based on annealing strategy for solving four-coloring map problem 然后用基于退火策略的混沌神經(jīng)網(wǎng)絡(luò)
This viewer displays mining models that are built with the microsoft neural network algorithm 該查看器顯示使用microsoft神經(jīng)網(wǎng)絡(luò)算法生成的挖掘模型。
The mostly thought t are real time recognizing gray image target with gabor wavelet neural networks algorithm 本文的主要研究思想就是:運用并行的gabor小波神經(jīng)網(wǎng)絡(luò)算法對灰度圖像目標進行實時識別。
The dissertation is the study of gabor wavelet neural network algorithm and its application in gray image target recognition 本文主要研究的是gabor小波神經(jīng)網(wǎng)絡(luò)算法及其在灰度圖像目標識別中的應(yīng)用。
Bp algorithm ( back-propagation algorithm ) is the most basic and important one among all kinds of neural networks algorithms bp算法,即誤差逆向傳播算法是各種神經(jīng)網(wǎng)絡(luò)算法中最基礎(chǔ)、最重要的一種。
The microsoft neural network algorithm creates classification and regression mining models by constructing a multilayer perceptron network of neurons microsoft神經(jīng)網(wǎng)絡(luò)算法通過構(gòu)建多層感知器網(wǎng)絡(luò)來創(chuàng)建分類和回歸挖掘模型。
Furthermore, in the last part of this paper, based on the simulation results, some problems of artificial neural network algorithm are addressed 收斂性是神經(jīng)網(wǎng)絡(luò)校正算法的關(guān)鍵問題,本文最后對此進行了理論探討并根據(jù)仿真結(jié)果對其迭代步長進行選擇。
Then compared to traditional static algorithms of ejb load balancing, the neural network algorithm produced higher performance in the test cases 然后設(shè)計出基于bp神經(jīng)網(wǎng)絡(luò)的負載預(yù)測模型,實現(xiàn)其動態(tài)負載均衡算法。測試結(jié)果表明其性能優(yōu)于傳統(tǒng)ejb集群算法。
The data mining model combined with neural networks algorithm and genetic algorithm make the mf nodes arrangement and establishment location predictable and auto-adaptive under the future conditions 采用神經(jīng)網(wǎng)絡(luò)與遺傳算法相結(jié)合的數(shù)據(jù)挖掘模型,能夠使整個物流網(wǎng)絡(luò)布局和設(shè)施選址對于未來的情況具有預(yù)測性和自適應(yīng)性。