i want to optimize a neural network parameters by genetic algorithm and i get below code from matlab support, but the result is very poor even for a very simple function. how can i improve the result and is there any better code for my porpuse?

Training a neural network in a real world system (inverted pendulum)

Problem: feed-forward neural network - the connection between the hidden layer and output layer is removed.

How can I use the Genetic Algorithm (GA) to train a Neural Network with inputs matrix [12 x 100] and targets [1 x 100]?

Could anyone help me how to write a code to find the fitness function that could be used in optimization toolbox by using 3 inputs and getting an output using neural network (Training Process)

The problem of poor quality of training of an NARXNET model

Neural Network MEMORY problem

Initialize a Neural Network from layers but do NOT train

what types of Network and training are suitable for returning a more precise value?

give me a detailed code for LBG algorithm or give me the function d=disteu(v,c) in the below function

RGB range for an image

Neural networks - How to use different datasets for training, validation and testing?

Adapt and sim produces very different outputs

Discrete weights with neural network toolbox

how do exactly the testing and validation sequences work in neural network toolbox in Matlab?

patternnet for classification to 5bit targets?

Neural Network optimization using Genetic Algorithm

Unable to use checkpoints for prediction/detection

Algorithms for imbalanced multi class classification in Matlab?

How to optimize neural networks for over-dispersed target data?

How to do grid Search to optimize sigma using Matlab?

Imprecision problem: pinv(H) is not equal to pinv(H'*H)*H'

Optimal hidden nodes number

how to fix constant iteration in neural networks

serial classification of timeseries "phases" with neural network