encog - Using neural network with true and false outputs -


since i'm new neural network, there few questions ask understand more clearly.

  • q1: test true/false results (pattern recognition), mean output layer have 2 neutrons?
  • q2: continue question 1, if in training data, contains true data, result in testing data true? (since i'm having problem, , encog library not allow me specify 2 output neutrons since have 1 type of output in training data).

my training data:

1,2,3,4 pattern1 6,7,8,9 pattern1 

my testing data:

4,3,2,1 pattern2 

this result got encog: neural network results:

0.0,0.0, actual=-0.05972914453206861,ideal=1.0 

can please show me wrong ?
thank much.

if need true/false response, output layer should have one neuron. if 1 neuron active, treat true. if not active, treat false.

if training data has true values bad data, , won't help. end training network respond true. perhaps should figure out data should lead false result , add training data.

if training data has 2 cases, , both true, network isn't going learn anything. need lot more data make pattern clear.

go ask smart person (the best neural networks we've got) following question:

1,2,3,4 true; 6,7,8,9 true. 4,3,2,1 true? 

they have no idea. don't know. no 1 knows. don't know criteria is. number of things determines whether sequence true. including:

  • the numbers going up
  • they move in same direction
  • they 1 apart
  • that numbers under 10

i have no idea of these requirements , aren't. no idea. , neural network making have less of idea.

the main problem need more data.

one last note. said neural networks @ 'pattern matching'. , true. however, sequences of numbers aren't meant 'pattern matching'. requires arithmetic isn't going served neural network. aren't exact enough arithmetic. never going able train neural network particularly to, example, identify sequence of doubling numbers.


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