Hybrid Method Based on NARX models and Machine Learning for Pattern Recognition

Therefore, if the input variables (features) have a larger number The progressive development of modern technology, comprised compared to the number of training data, in some cases of computer and internet applications, generates it can result in complex and ineffective models. Basically, large amounts of data at an unprecedented speed, such the generalizability of the classifier may not be enough, as videos, photos, texts, voices, and data obtained from being necessary to extract and select features to improve the emergence of the Internet of Things (IoT) and cloud the generalizability.