Casasent D P, Barnard E
Appl Opt. 1990 Jun 10;29(17):2603-15. doi: 10.1364/AO.29.002603.
Pattern recognition techniques (for clustering and linear discriminant function selection) are combined with neural net methods (that provide an automated method to combine linear discriminant functions into piecewise linear discriminant surfaces). The resulting adaptive-clustering neural net is suitable for optical implementation and has certain desirable properties in comparison with other neural nets. Simulation results are provided.
模式识别技术（用于聚类和线性判别函数选择）与神经网络方法相结合（神经网络方法提供了一种将线性判别函数组合成分段线性判别曲面的自动化方法）。由此产生的自适应聚类神经网络适用于光学实现，并且与其他神经网络相比具有某些理想的特性。文中给出了仿真结果。
