Zülicke C, Ebeling W, Schimansky-Geier L
Humboldt University, Department of Physics, Berlin, G.D.R.
Biosystems. 1989;22(4):261-72. doi: 10.1016/0303-2647(89)90047-6.
We use an excitable medium for dynamic pattern processing. For this purpose the autowave structures arising from the light-sensitive Belouzov-Zhabotinsky reaction could serve as attractors. The dynamics is simulated as a non-linear network with local interaction in terms of cellular automata. With the help of a set of threshold electrodes the actual state is projected into a space of bytes. At the end of the adaptation procedure for the parameters we achieved the ability of this system for pattern recognition. Dynamic and statis pattern processing are compared with respect to information capacity and adaptation time.
我们使用一种可激发介质进行动态模式处理。为此，由光敏Belouzov-Zhabotinsky反应产生的自波结构可作为吸引子。动力学被模拟为一个在细胞自动机方面具有局部相互作用的非线性网络。借助一组阈值电极，实际状态被投影到字节空间中。在参数的自适应过程结束时，我们实现了该系统的模式识别能力。从信息容量和自适应时间方面对动态和静态模式处理进行了比较。
