This design also uses particle swarm optimization (PSO) for centers (local clustering search method) and spread tuning, and the Penrose Moore pseudoinverse for the adjustment of RBF-NN weight outputs.
However, traditional ELM and its variants are only based on random assignment of hidden weights using a uniform distribution, and then the calculation of the weights output using the least-squares method.
The architecture of an MLP as explained by several researchers (Ham and Kostanic 2003; Huang et al. 2006a), with one hidden layer consists of several elements which include, input to hidden layer weights, hidden layer biases, hidden layer transfer function, hidden layer to output layer weights, output layer biases and output layer transfer function.
Computers and Industrial Engineering, 60(4), 550 554], which involves many unnecessary constraints and requires specifying an assurance region (AR) for input weights and output weights, respectively.
Relative to other emerging economies the policy reaction function of the SARB appears to be much more stable with a consistent anti-inflation bias, a somewhat larger weight on output and a very low weight on the exchange rate.
The final fractional contribution (in the 'FRACTION' column in the weight file output) can be less than the threshold parameter since the thresholding is done and then the fractions of the remaining regions are re-normalized.
Fourth, large committees and short terms are therefore socially desirable if the weight on output stabilization in the social loss function is low.
The local routing of the particles among the PEs executed in parallel with the particle generation, weight, and output calculations pipeline step.
Adequate contrast opacification is critical for diagnostic quality, which depends upon patient weight, cardiac output, scan duration and contrast delivery protocol [11, 12].
