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2007 IEEE International Symposium on Industrial Electronics
The paper shows that it fully connected neural networks are used then the same problem can be solved with less number of neurons and weights. Interestingly such networks are trained faster. The problem is that most of the neural networks terming algorithms are not suitable for such network. Presented algorithm and software allow training feedforwad neural networks with arbitrarily connected neurons in similar way as the SPICE program can analyze any circuit topology. When the second orderdoi:10.1109/isie.2007.4375144 fatcat:qcasssrwlvgh7i6fhwwjnam7oe