吳建銘
Overview
Works: | 1 works in 0 publications in 0 languages |
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Titles
退火式Levenberg-Marquardt學習法解組合最佳化 = = Annealed Levenberg-Marquardt Learning for Combinatorial Optimizations /
by:
吳建銘; 國立東華大學應用數學系; 李坤峰
(Language materials, printed)
自然彈性網之精準表示法 = = Natural elastic net for faithful representation /
by:
吳建銘; 許哲瑋
(Language materials, printed)
多耦合波茲模式 = = Potts models with multiple sets of interactive dynamics /
by:
邱錕煜; 吳建銘
(Language materials, printed)
獨立因子分析之類神經網路 = = Neural networks for independent factor analysis /
by:
吳建銘; 蕭明安
(Language materials, printed)
使用主成分分析與波茲模式作臉部辨識 = = Face recognition using principal component analysis and potts models /
by:
吳建銘; 楊益祥
(Language materials, printed)
以模擬退火法進行自行組織 = = Self-organization by simulated annealing /
by:
嚴宗雄; 吳建銘
(Language materials, printed)
真實訊號之隱蔽訊號源分析 = = Blind source separation for real biomedical signals /
by:
吳建銘; 宋彰憲
(Language materials, printed)
以遞迴函數近似法解隱蔽式反迴旋影像問題 = = Blind image deconvolution by recursive function approximation /
by:
吳建銘; 國立東華大學應用數學系; 陳孝昌
(Language materials, printed)
馬可夫鏈內嵌的時間圖樣分析 = = Markov chain embedded temporal pattern analysis /
by:
吳建銘; 國立東華大學應用數學系; 周雅婷
(Language materials, printed)
類神經計算與高等平均場退火理論 = = Neural optimizations by advanced mean field annealing /
by:
stochastic; stochastic hopfield neural networks; 吳建銘; 黃光騭; entropy; mean field annealing
(Language materials, printed)
以波茲模式為基礎之函數近似學習理論 = = A new learning algorithm for functional approximation using potts models /
by:
吳建銘; 張鴻財
(Language materials, printed)
以RK-means 演算法解訊號分群問題 = = Signal clustering by RK-means algorithm /
by:
吳建銘; 黃博宇; 國立東華大學應用數學系
(Language materials, printed)
以RBF監督式學習法則為基礎的條件機率密度估計與多值函數近似 = = Supervised RBF learning for conditional density estimation and multi-valued function approximation /
by:
吳建銘; 蔡雅雯; 國立東華大學應用數學系
(Language materials, printed)
使用波茲模式之監督式學習 = = Supervised learning using potts models /
by:
顏俊杰; 吳建銘
(Language materials, printed)
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Subjects
神經網路
圖形切割
stochastic
stochastic hopfield neural networks
函數近似
核密度估計
退火式Hopfield 類神經網路
系統辨識
函數近似學習理論
線性影像退化模型
線性轉移不變
組合最佳化
長期記憶
馬可夫鏈
entropy
自適應線性元件
退火式LM法
歐式距離
Parzen window
輻狀基底函數
霍普非爾類神經網路
半徑基底函數
類神經學習網路
波茲模式
隱蔽訊號源分析
平均場退火法
RBF
多值函數
高斯混合模型
K-means
數學
遞迴函數
LM法
真實訊號
密度估計
隱藏馬可夫鏈
mean field annealing
高斯混合
條件機率
隱蔽式的反迴旋影像