The inputs (features) and expected output for my ANN are these:Input 1: Product id (number, cast to double)Input 2: Year in the past (1900..2017, cast to double)Input 3: Month of year (1..12, cast to double)Expected output: Sale of month (number of units sold, cast to double)I need to predict the sale of a product for a certain month in a certain year. How many layers and how many neurons on there layers should I put?
ANN Shape for Sale Prediction
neural networks;ai design;prediction;hidden layers
Every answer you get is just an opinion, it is based on experience.My answer is a single hidden layer of 5 neurons.Besides, I recommend you to use a TWEANN system (Topology and Weight Evolving ANN).Such system applys genetic algorithm to search and optimize an ANN with the optimal topology and weights.Take a look at NEAT and DXNN.