This chapter focuses on the testing for a complete systematic neural trust model developed previously based on the trust learning algorithms, trust estimation algorithm and reputation mechanisms. The focus is to describe the detailed design of the model and explain the rationales behind the model design. The purpose is to evaluate the proposed neural trust model from different aspects and analyze the results of the evaluations. Experiments have been conducted. Results are presented and discussed. Finally, based on the analysis and comparison of acquired results, conclusions are drawn.
|Title of host publication
|Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts
|Joan Lu, Qiang Xu
|Number of pages
|Published - 10 Feb 2017