Web caching is a technology for improving networktraffic on the internet. It is a temporary storage of Webobjects (such as HTML documents) for later retrieval.There are three significant advantages to Webcaching; reduced bandwidth consumption, reducedserver load, and reduced latency. These rewards havemade the Web less expensive with better performance.In this paper, an Artificial Intelligence (AI) approachis introduced for Web caching to determine the type ofWeb request, either to cache or not, and to optimizethe performance on Web cache. Two methods areemployed in this study; Artificial Neural Network(ANN), and Particle Swarm Optimization (PSO). Theexperimental results have revealed that someimprovements have been accomplished compared tothe existing technique in terms of Web cache size.