This paper introduces a methodology to simplify the uncertainty analysis of large-scale problems where many outputs and/or inputs are of interest.
These neurons, which we might therefore predict to be glutamatergic, have many outputs onto β-profiles of T1 neurons, and onto R1 R6 and L1 L3 neurons [9].
In Figure 5(B) the transfer function (e.g. the internal model) of the integrated experience component is represented as a network of weights (as opposed to a single gain as in Figure 5(A)) – where each box represents a differential weighting function for each of many inputs relative to each of the many outputs.
This makes it particularly suitable for analysing the efficiency of hospitals that use many inputs to produce many outputs, and where it is sometimes difficult to assign prices to many of their outputs.
In our research, we experimented with several scenarios, such as training as many networks as the number of targets or just one network with as many output nodes as the number of targets (Fig. 1).
Because a fuel cell produces electricity continuously from fuel, it has many output characteristics similar to those of any other direct-current (DC) generator system.
Thus, the suggested approach could be generalized to many output classes exploiting the concept of modular neural networks [3].
In addition, because in many cases the outputs of the mining industries are used as intermediate goods traded between firms, the price index data in the Corporate Goods Price Index are used for the mining industry (Bank of Japan 2006).
We confess that many of obtained outputs of high-throughput experiments do not exist in this network anymore.
Certainly, pathways, both real and metaphorical, have played a significant part in the outputs of many poets, past and present.
