Routing Protocols are used by routers to dynamically determine the path of a packet (user information) through an internetwork. This is an important subject to understand in today’s Information Communication System, since it pertains to all routers and configurations that use Internet Protocols (IP). IP Routing is a key technology for connecting LANs in a Wide Area Network (WAN). This paper studies the underlying concepts widely used in routing protocols. Various techniques are used by effective routing protocols to determine the most appropriate route for data transmission. The most relevant routing information involves various measures that are often obtained in an imprecise manner, hence proposing that neural routing is a natural method to employ in an improved routing scheme. This adaptive artificial intelligence method enables the Wide Area Network (WAN) learn easily once the neural network is initially designed. This technique, neural networks, provides a very effective routing algorithm for computer networks. Computer simulation is employed to prove the new Neural Open Shortest Path First (NOSPF) outperforms the Open Shortest Path First (OSPF) in most computer network situations. The benefits increase as the computer network migrates from a stable network to a more variable one. The advantages of applying this neural routing protocol are apparent when considering the dynamic nature of modern computer networks.