To solve this problem, a grey-theory algorithm was introduced into the TFC to predict the next output error of the system and the error change, rather than the current output error of the system and the current error change, as input variables of the TFC.
Equation (5) calculates the costs of the next output unit if a distinct cumulated output or, in the absence of capacity restrictions, a cumulated demand (D_{text{cum}}) has been reached.
For standard cans, the distance from the top of the input shelf, to the top of the next output shelf is 4 inches (10.2 cm).
The selection of the output elements that comprise the next output vector by the element selection network is indicated by underlining of the selected elements.
In swarming step the previous fitness function output is compared with the next position output of same bacteria.
Next the outputs of the cable tension and bending moment of the proposed method and the finite element model are presented in Table 5, in which it is possible to observer a general error below 4.3%, which leads to the conclusion that even on a 3D model with geometrical non-linear analysis and tower flexibility, the proposed method possesses extraordinary results for the pre-design phase.
When the ANN forecasts a decrease in S&P 500 in the next day (the output of the ANN is negative), all of it will be liquidated if the capital is in the form of stocks, and no trade will be performed if the capital is in the form of cash.
When the ANN forecasts an increase in S&P 500 in the next day (the output of the ANN is positive), all of it will be used for buying SPDRsb if the capital is in the form of cash, and no trade will be performed if the capital is in the form of stocks.
When the ANN forecasts a decrease in S&P 500 in the next day (the output of the ANN is negative), all of it will be liquidated if the capital is in the form of stocks, and no trade will be performed if the capital is in the form of cash. 5.
