基于神经网络求解游戏关卡问题

Using Neural Networks to Solve the Issue of Game Points

随着网络游戏的流行,玩家越来越关注游戏的智能化。本文基于人工神经网络中的BP网络算法建立了一个自动过关模型,此模型根据游戏中的不同环境输入神经元,经过隐含神经的不断学习,输出正确的路径,实验表明此模型能够有效地解决游戏关卡问题,并和遗传算法,情境法进行了对比。

With the popularity of online games,players are increasingly concerned about the intelligence game.Based on BP artificial neural network in the network,the paper establishes an automatic clearance model,which in different circumstances depends on the game input neuron.Through continuous learning of the hidden nerves,the model outputs the correct path.The experiments show that the model can effectively solve the game card clearance issues,and realizes the comparison with genetic algorithms and situational me...