1、This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
提出了一種二層學習算法來優(yōu)化模糊規(guī)則基。

2、Minimum entropy is chosen as a heuristic strategy in decision tree learning algorithm such as ID3.
決策樹的學習算法，比如id3算法，選用最小信息熵作為啟發(fā)式信息。

3、A Fast Evolutional Learning Algorithm of Neural Network
一種快速的演化學習神經(jīng)網(wǎng)絡模型

4、A BP NETWORKS LEARNING ALGORITHM BASED ON PSO
基于粒子群優(yōu)化的BP網(wǎng)絡學習算法

5、How do you know what machine learning algorithm to choose for your classification problem?
如何針對某個分類問題決定使用何種機器學習算法？

6、SECOND ORDER FAST LEARNING ALGORITHM OF BP NEURAL NETWORK VIA PID CONTROL
BP網(wǎng)絡的PID型二階快速學習算法

7、The combinational equivalence check methods based on recursive learning algorithm are discussed.
并討論了基于遞歸學習的組合電路等價性檢驗方法；

8、A new second order recursive learning algorithm to multilayer feedforward network is proposed.
提出了多層前向神經(jīng)網(wǎng)絡的新型二階遞推學習算法。

9、LM learning algorithm is adopted in BP network learning.
BP網(wǎng)絡的學習采用了LM學習算法。

10、The selection for input variables and the learning algorithm are analyzed in detail.
詳細地對輸入量的選擇和學習算法進行了分析。

11、The Improvement of Learning Algorithm of BP Neural Networks
BP神經(jīng)網(wǎng)絡算法的改進

learning algorithm翻譯