Figures & data
Figure 1. The neuron model. For the artificial neuron, the information flows from left to right as follows: data input, multiplication of each input with a weight, summation of the weighted inputs, passing from non-linear function, and neuron output.
![Figure 1. The neuron model. For the artificial neuron, the information flows from left to right as follows: data input, multiplication of each input with a weight, summation of the weighted inputs, passing from non-linear function, and neuron output.](/cms/asset/00c71e71-a943-4807-a7ac-a9ae344368e8/iaan_a_558607_f0001_b.gif)
Figure 2. Multilayer neural networks. The multilayer neural network is based on layers composed from neurons: the input layer accepts the inputs, the output layer produces the neural network response. Between the input and the output layer there are one or more hidden layers. In most neural network models the flow of information moves from one layer to the next.
![Figure 2. Multilayer neural networks. The multilayer neural network is based on layers composed from neurons: the input layer accepts the inputs, the output layer produces the neural network response. Between the input and the output layer there are one or more hidden layers. In most neural network models the flow of information moves from one layer to the next.](/cms/asset/78e8e21b-60e1-4002-be2b-ea45375465e4/iaan_a_558607_f0002_b.gif)
Table 1. Summary of features used for the prediction of IVF result.