In 1991 , he introduced the concept of soft computing , the principal constituents of which are fuzzy logic , neural network theory and probabilistic reasoning 一九九一年澤德教授提出軟計算的概念,內(nèi)容主要包括快思邏輯、神經(jīng)網(wǎng)絡(luò)理論及概率推理。
This course explores the history and debates over codifying the laws of probability , how probability theory applies to specific cognitive processes , how it relates to the human understanding of causality , and how new computational approaches to causal modeling provide a framework for understanding human probabilistic reasoning 本課程探索關(guān)于機率法則形成的歷史和爭論,機率理論如何運用于具體的認知過程,它與人類對因果的理解有著怎樣的關(guān)系,以及新的關(guān)于因果模型計算方法怎樣為理解人類的機率推理過程提供架構(gòu)。
( 5 ) a series of design methods of classifiers are proposed , including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ) , a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms , and the fuzzy neural classifier . the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier . ( 6 ) this paper proposes a hybrid feature extraction method for face recognition , which is a combination of the eigen matrix , fisher discriminant analysis , and the generalized optimal set of discriminant vectors ( 5 )對圖象分類器設(shè)計方法進行研究,主要包括:提出了一種基于廣義逆和概率推理的分類器設(shè)計方法;提出了一種新的自適應(yīng)模糊聚類算法;提出了基于模糊神經(jīng)網(wǎng)絡(luò)的分類器設(shè)計方法;并對多特征多分類器組合方法在人臉識別中進行實驗研究; ( 6 )提出了一種只要一個訓(xùn)練樣本就能解決人臉識別問題的新方法,該方法結(jié)合了特征矩陣、 fisher最優(yōu)鑒別分析和廣義最優(yōu)鑒別分析方法的優(yōu)點。