By M. Han, X. S. Tai
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Additional info for Advanced Research in Civil Engineering, Materials, Machinery and Applied Technologies
Haihe Water Resources. Vol. 5(2009), p. M. Wei: J. Journal of Hebei Engineering and Technical College. (2003), p. 1 Applied Mechanics and Materials Vol. com Keywords: limiting factors; multi-attribute utility function;shortest path algorithm Abstract. This paper discussed the main limiting factors that affects the transportion route selection of heavy and oversize cargo and established the cost and time dual objective linear model on the basis of these limiting factors. The optimal route was obtained by using the Dijkstra shortest path algorithm in the model solution.
2 artificial neural network evaluation algorithm of building energy saving As figure 1 shows artificial neural network, the nonlinear relationship between output and input of each node can be calculated with Sigmoid function, namely: f(x) = [1+e-x]-1 (15) 32 Advanced Research in Civil Engineering, Materials, Machinery and Applied Technologies The sample p of hidden layer is: n ypk = f( ∑ w jk u pj ), k∈(1,12) (16) j =1 The sample of output layer is: m b′P = f( ∑ wk y pk ) ypk (17) j =1 In formula(17), j∈(1, n); k∈(1, 12), wjk expresses the connection weights from the jth node of input layer to the kth node of hidden layer, wk expresses the connection weights from the jth node of hidden layer to the kth node of onput layer.
N；j=1, 2, 3, m) i =1 (2) f ri = k rm ⋅ l rmi + k rj ⋅ l rji + k rc ⋅ l rci f ci = k cm ⋅ x cmi + k cj ⋅ x cji f hi = k hm ⋅ x hmi + k hj ⋅ l hji + k hc ⋅ l hci f wi = k wm ⋅ x wmi + k wj ⋅ l wji + k wc ⋅ l wci f li = k ls ⋅ l lsi + k f Ji = k Ji ⋅ x lv ⋅ l lvi + k lr ⋅ l lri Ji fi = li ⋅ fi In which, F j is the cost of complete transport tasks on route j; f , f , f , f , f and f is the cost of eliminating the limit of road pavement,radius,height ,width,bridges\dams loading capacity and the administration requirements.
Advanced Research in Civil Engineering, Materials, Machinery and Applied Technologies by M. Han, X. S. Tai