{'fraction_non_alphanumeric': 0.008928571428571428, 'fraction_numerical': 0.0, 'mean_word_length': 5.0675675675675675, '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}}
Bridging of layers of neural networks

This paper involves the evolution of neural networks based on parameters gained from a backpropagation training algorithm. The bridging of layers of neural networks is suggested as a new process in this evolutionary process, in addition to cell division and degeneration of synapses and cells. The process of bridging the layers was performed in three different ways in order to find an appropriate algorithm.