| 1. | Perceptron as feature detector . visual receptive fields
做为特徵探测器的感应机。视觉的接受域。 |
| 2. | A pavement performance predicting method on the fuzzy perceptron
基于模糊感知器的路面性能预测方法 |
| 3. | There are important differences from the perceptron algorithm
这里有一些与感知器算法相区别的重要不同点。 |
| 4. | Approach to rule extraction and generation using rough multilayer perceptron networks
网络的规则提取及生成方法研究 |
| 5. | Perceptron learning rule
感知器学习规则 |
| 6. | Visual kernel perceptron
视觉核感知器 |
| 7. | For an implementation of the perceptron with a gui , see
关于包含图形界面的感知器的执行，请参阅omri weisman和ziv pollack撰写的 |
| 8. | 4 . algebra hyper surface neutral network is a kind of expanded perceptron model
重点研究了一类感知器推广模型? ?代数超曲面神经网络模型。 |
| 9. | Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms
然而，现有的感知器学习演算法无法轻易的对这个函数最佳化。 |
| 10. | Neural network is deeply researched as representation of eager classification . perceptron is selected
选取神经网络分类算法作为急切分类算法的代表进行深入的研究。 |
