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With the rapid development of the networking technology, the ad hoc technology has kept advancing apace. But wireless ad hoc networks present more security problems than the conventional wired and wireless networks. Therefore, the ever-increasing researchers are focusing on intrusion detection, as a complementary mechanism to the regular intrusion prevention approaches, which is needed to secure the wireless ad hoc networks. However, how to improve the accuracy of the intrusion detection efficiently in wireless ad hoc networks is still a challenging problem. In this paper, we propose a new approach for intrusion detection, which uses a novel Support Vector Machine Fuzzy Network (SVMFN) to make the detection more suitable and accurate in various wireless ad hoc network environments. The experimental results show that the generalization performance and the accuracy of identification are improved significantly compared to that of the traditional methods, and adapt to engineering applications.