Bright and dark sides of computational intelligence

The paper describes basic concepts of neural networks and fuzzy systems. It is shows that most commonly used neural network architecture of MLP – Multi Layer Perceptron is also one of the least efficient ones. Also most commonly used EBP – Error Back Propagation algorithm is not only very slow, but also it is not able to find solutions for optimal neural network architectures. EBP can solve problems only when large number of neurons is used, but this way neural network loses its generalization property. Performances of both fuzzy systems and neural networks are compared leading to the conclusion that neural networks can produce much more accurate nonlinear mapping and they are simple to implement. At the end of the presentation several concepts of neuro-fuzzy systems are compared.