HYBRID SPIKING NEURAL NETWORK AND SUPPORT VECTOR MACHINE CLASSIFIER

摘要

System and techniques for a spiking neural network and support vector machine hybrid classifier are described herein. A first set of sensor data may be obtained, e.g., from a corpus of sample sensor data. A feature set is extracted from the sensor data using a spiking neural network (SNN). A support vector machine (SVM) may then be created for the sensor data using the feature set. The SVM may then be used to classify a second set of sensor data.