A study on a bionic pattern classifier based on olfactory neural system

TLDR: A simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network designed to simulate the patterns of action potentials and EEG waveforms observed in electrophysiological experiments is presented.

Abstract: This paper presents a simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network. The KIII set differs from conventional artificial neural networks by use of chaotic attractors for memory locations that are accessed by, chaotic trajectories. It was designed to simulate the patterns of action potentials and EEG waveforms observed in electrophysiological experiments, and has proved its utility as a model for biological intelligence in pattern classification. An application to recognition of handwritten numerals is presented here, in which the classification performance of the KIII network under different noise levels was investigated.

Figures

Fig. 4. Sample of the test data set.

Fig. 3. (Continued)

Fig. 5. Classification performance of KIII.

Fig. 1. Topology of the KIII network. Adapted from [Chang & Freeman, 1998a].

Table 1. Classification result — using KIII.

Table 2. Classification results — comparison.

Frequently asked questions

Q1. What have the authors contributed in "A study on a bionic pattern classifier based on olfactory neural system" ?

In this paper, the authors proposed a new application example of the KIII network for recognition of handwriting numerals.