To　accurately　evaluate　the　modulus　of　elasticity　in　static　bending　(MOE)　of　wooden　components　in　ancient　timberwork　buildings　under　the　＂minimum　intervention　principle,＂　the　nondestructive　testing　of　physical　and　mechanical　properties　were　conducted　on　larch.　Using　moisture　content　(MC),　density　(rho),　the　stress　wave　propagation　velocity　(v),　the　modulus　of　elasticity　in　dynamic　bending　(E-d),　the　rotational　resistance　value　of　the　drilling　needle　(f(drill))and　the　resistance　value　of　the　feeding　needle　(f(feed))　as　the　main　parameters,　the　correlation　between　several　parameters　and　MOE　was　firstly　calculated　using　the　Gray　Relation　Analysis　(GRA)　and　ranked　according　to　the　strength　of　the　correlation.　Six　combinations　were　selected　according　to　the　ranking,　and　the　Gene　Expression　Programming　algorithm　(GEP)　was　used　to　build　models　for　predicting　MOE.　The　results　showed　that　the　correlation　between　several　parameters　and　MOE　was　good　(between　0.5　and　0.8),　and　the　prediction　model　established　with　combination　6　was　the　best,　which　indicated　that　the　prediction　model　established　based　on　GRA-GEP　algorithm　had　a　certain　feasibility　and　effectiveness,　and　the　combined　effect　of　the　six　parameters　to　evaluate　the　MOE　of　wooden　components　of　ancient　buildings　was　better　in　the　field　inspection.