人工神经网络
遗传算法
计算机科学
数据集
集合(抽象数据类型)
训练集
算法
人工智能
试验数据
数据挖掘
相关性
试验装置
数据建模
词(群论)
机器学习
数学
几何学
数据库
程序设计语言
作者
Jiaqi Liu,Yang Ma,Jinpeng Cheng,Xiaofeng Wu
摘要
This article mainly uses the data provided by Wordle player to predict the distribution of score results for a certain word in the future. However, the scoring results have high uncertainty. There are many evaluation indicators and impact factors. In order to predict the results more accurately, this paper proposes a BP neural network data prediction model based on genetic algorithm optimization(GA BP algorithm). We introduce three factors: time, prevalence of each word and number of repeated letters. We determine the BP neural network topology, each parameter of BP and each parameter of GA, then train it. The data correlation between the training set, validation set, test set and overall results after training is derived and the result is good. The predicted result for the term EERIE on March 1, 2023 is: 0.00%, 2.06%, 16.21%, 32.95%, 28.50%, 15.78%, 4.48% from 1 to X in that order.
科研通智能强力驱动
Strongly Powered by AbleSci AI