The　large　relative　error　between　the　measurements　and　the　fitted　values　with　the　least　squares　method　easily　occurred　when　the　small　outputs　of　CCD.　According　to　this　problem,　the　evaluation　method　with　minimizing　the　value　of　the　maximum　relative　error　was　proposed　to　solve　the　optimum　curve　fitting　with　the　neural　dynamic　optimization　algorithm.　Firstly,　the　CCD　opto-electronic　responses　were　achieved　by　using　the　high　power　LED　as　a　linear　light　source,　and　the　polynomial　fitting　error　model　was　advanced.　Then　the　neural　dynamic　optimization　algorithm　was　used　to　solve　it.　The　experimental　results　show　that　the　optimum　algorithm　is　stable　and　effective,　and　the　maximum　relative　error　is　not　more　than　2.5%　in　the　third　order　polynomial　fitting　with　the　neural　dynamics.　The　relative　error　is　obviously　reduced　in　comparison　with　the　least　square　method.　By　analyzing　the　responses,　the　CCD　ICX694AL　is　with　linear　characteristics　in　the　unsaturated　region.　However,　it　has　obvious　nonlinear　effects　in　the　saturated　region.　©　2016,　Editorial　Office　of　Opto-Electronic　Engineering.　All　right　reserved.