| 1. | A parameter learning method for stochastic fuzzy
随机模糊神经网络的参数学习算法 |
| 2. | Learning algorithm for feedforward neural networks
前向神经网络学习算法研究 |
| 3. | Supervised learning of heuristic function for refutation
反演启发函数的监督学习算法 |
| 4. | Bayesian - network based regression tree learning algorithm
基于贝叶斯网络的回归树学习算法 |
| 5. | A new learning algorithm of fuzzy self - tuning controllers
一种新的模糊自校正控制学习算法 |
| 6. | Improved smo learning method of support vector machine
支持向量机改进序列最小优化学习算法 |
| 7. | Neural network learning algorithm based on particle filter
基于粒子滤波的神经网络学习算法 |
| 8. | 4 ) this thesis proposed vector base learning ( vbl ) algorithm
4 )提出了矢量基学习算法。 |
| 9. | A novel learning algorithm for synergetic pattern recognition
一种新的协同模式识别学习算法 |
| 10. | Incremental learning algorithm of induction
一种递增式归纳学习算法 |
