Comparison of the Complex Valued and Real Valued Neural Networks Trained with Gradient Descent and Random Search Algorithms

Complex Valued Neural Network is one of the open topics in the machine learning society. In this paper we will try to go through the problems of the complex valued neural networks gradients computations by combining the global and local optimization algorithms. The outcome of the current research is the combined global-local algorithm for training the complex valued feed forward neural network which is appropriate for the considered chaotic problem.