An adaptive neural network: Application to character recognition on x-ray films

✍ Scribed by Akira Hasegawa; Kenji Shibata; Kazuyoshi Itoh; Yoshiki Ichioka; Kiyonari Inamura

• Publisher: Elsevier Science
• Year: 1996
• Tongue: English
• Weight: 583 KB
• Volume: 9
• Category: Article
• ISSN: 0893-6080
• DOI: 10.1016/0893-6080(95)00037-2

✦ Synopsis

In this paper, we propose a hyper-spherical surface interactive interconnections (HSII) learning method for category learning. This method generates the number of hidden units based on the same algorithm as a restricted coulomb energy (RCE) network and updates weights and biases by the error backpropagation algorithm (EBP). The HSII method adapts desired features of RCE and EBP methods. The HSII (1) optimizes the network size, (2) learns samples quickly, and ( 3) has well generalized performance on untrained inputs. We demonstrate application of the HSII to recognition of characters on X-ray films. We also compared performances of the HSII with the RCE using receiver operating characteristic analysis.