Future Work

 

• The limitation of number of inputs in visualization tools is caused by the visual perception of the human being. For networks with more number of inputs, transformations can be applied to reduce the number of dimensions to some principal dimensions (3 or 2 dimensions), by using principal component analysis and Fischer's linear discriminant [Agogino99].
• The parameters about the architecture of the network such as number of input, output and patterns can be obtained by analyzing the corresponding data set files, rather than required to be defined in the problem specification file.
• Adding ability to process multi-layer network architectures, as well as single layer (no hidden layer) networks.