{'fraction_non_alphanumeric': 0.01643835616438356, 'fraction_numerical': 0.0, 'mean_word_length': 5.6454545454545455, '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}}
Strategic Planning for Scientific and Technological Human Resource Based on BP Neural Network

Based on the existing theory of intelligent prediction, this paper applies back-propagation (BP) neural network to combine a variety of intelligent forecasting model, and uses back-propagation algorithm to determine the weight of combination model, which makes the model approach the development trend of things. Last, the author applies the intelligent combination model to forecast the quantity increase of science and technology staffs. The conclusion shows that The combination of intelligent prediction model based on BP neural network can greatly improves the forecast accuracy, better than a single model and linear combination.