In this study, the conjugate gradient training algorithm is used to simulate the streamflow for the Astore River Basin, and for comparison with the streamflow predicted from the HEC-HMS. Figure 5. ANN architecture and flow chart. An efficient technique is required to select the best combination...
Figure 1. The proposed model of a whirlpool for the TFWO algorithm. Figure 2. The proposed CTFWO algorithm flow chart. 3.2. The Proposed CTFWO The proposed CTFWO technique is the combination of the conventional TFWO algorithm with chaotic maps. Chaotic systems are deterministic systems that...
c# cryptographicException Specified key is not a valid size for this algorithm. C# DataGridView - Disable column resize C# DataGridView Get Column Name C# DataGridView on WinForm - index was out of range C# DataTable Add Row As Header/Bold C# DataTable.Rows.IndexOf(DataRow) C# DATETIME to...
4.The method of claim 3 further comprising the steps of:installing the tuples of the first packet in the collision flow table if the standard load balancing algorithm routes the first packet to a second processor; andquerying the first processor for other flows that collide with the first pack...
1). Using a genetic clustering algorithm and samples from across the natural range of Oriental beech, we traced the origin of the planted Oriental beech stands and found that nine of them had a Greater Caucasus origin, while two were most likely established from Turkish seed lots. Climate ...
and regression analysis to verify experimental results therefore RMSE has been chosen as objective function for the genetic algorithm40. Three basic operations are involved in the GA searching process - selection, crossover, and mutation. Figure4depicts the flow chart of the GA searching operation in...
The adjusted parameters of DimNet, W and b, are obtained from the training process, which is an adaptive process guided by an iterative optimization algorithm whose objective is to minimize the error function. The error function is given below for a dataset in which the n-th sample (n=1,...
Random Forest (RF): Random Forest (RF) is another supervised classification algorithm based on ensembles of decision trees proposed by Breiman [62]. RF makes the final prediction on the majority-voting concept visualized in Figure 2. Figure 2. Visualization of Random Forest model. DownLoad: Ful...
CryptographicException "Specified key is not a valid size for this algorithm" CS0103 C# The name 'config' does not exist in the current context CS5001 - does not contain a static 'Main' method suitable for an entry point CSharp DeflateStream Error x = {"Block length does not match with...
However, studies showed that the RF model has several drawbacks [71], for example, the algorithm tends to base the classification on the group with a larger number of samples. Therefore, the application of the RF model is limited [104]. When dealing with the disaster type of the particular...