What are the advantages of using an object-oriented approach in developing an artificial neural network in PHP compared to a procedural approach?

Using an object-oriented approach in developing an artificial neural network in PHP provides several advantages over a procedural approach. Object-oriented programming allows for better organization and encapsulation of code, making it easier to manage and maintain. It also promotes code reusability and modularity, which can lead to more efficient development and easier debugging. Additionally, object-oriented programming allows for the implementation of inheritance and polymorphism, which can enhance the flexibility and scalability of the neural network model.

<?php

// Define a base class for the neural network
class NeuralNetwork {
    // Properties and methods common to all neural networks can be defined here
}

// Define a subclass for a specific type of neural network
class ConvolutionalNeuralNetwork extends NeuralNetwork {
    // Additional properties and methods specific to convolutional neural networks can be defined here
}

// Create an instance of the ConvolutionalNeuralNetwork class
$convNet = new ConvolutionalNeuralNetwork();

// Use the methods and properties of the ConvolutionalNeuralNetwork class
$convNet->train();
$convNet->predict();

?>