{'fraction_non_alphanumeric': 0.015424164524421594, 'fraction_numerical': 0.0, 'mean_word_length': 4.492957746478873, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Natural Gas Prediction Using The Group Method of Data Handling

The flow of natural gas from a system of wells is a highly nonlinear process. In this paper we are taking a time series approach to the prediction of natural gas. In particular, the Group Method of Data Handling (GMDH) is employed to develop a nonlinear polynomial time series model for a small natural gas collection system.