Inheritance: IEngineData
Exemplo n.º 1
0
        /// <summary>
        /// Create a new neural data pair object of the correct size for the neural
        /// network that is being trained. This object will be passed to the getPair
        /// method to allow the neural data pair objects to be copied to it.
        /// </summary>
        ///
        /// <param name="inputSize">The size of the input data.</param>
        /// <param name="idealSize">The size of the ideal data.</param>
        /// <returns>A new neural data pair object.</returns>
        public static IEngineData CreatePair(int inputSize, int idealSize)
        {
            IEngineData result;

            if (idealSize > 0)
            {
                result = new BasicEngineData(new double[inputSize],
                                             new double[idealSize]);
            }
            else
            {
                result = new BasicEngineData(new double[inputSize]);
            }

            return(result);
        }
        /// <summary>
        /// Create a new neural data pair object of the correct size for the neural
        /// network that is being trained. This object will be passed to the getPair
        /// method to allow the neural data pair objects to be copied to it.
        /// </summary>
        ///
        /// <param name="inputSize">The size of the input data.</param>
        /// <param name="idealSize">The size of the ideal data.</param>
        /// <returns>A new neural data pair object.</returns>
        public static IEngineData CreatePair(int inputSize, int idealSize)
        {
            IEngineData result;

            if (idealSize > 0)
            {
                result = new BasicEngineData(new double[inputSize],
                        new double[idealSize]);
            }
            else
            {
                result = new BasicEngineData(new double[inputSize]);
            }

            return result;
        }
 /// <summary>
 /// Add input and expected output. This is used for supervised training.
 /// </summary>
 ///
 /// <param name="inputData">The input data to train on.</param>
 /// <param name="idealData">The ideal data to use for training.</param>
 public void Add(double[] inputData, double[] idealData)
 {
     IEngineData pair = new BasicEngineData(inputData, idealData);
     this.data.Add(pair);
 }
        /// <summary>
        /// Add input and expected output. This is used for supervised training.
        /// </summary>
        ///
        /// <param name="inputData">The input data to train on.</param>
        /// <param name="idealData">The ideal data to use for training.</param>
        public void Add(double[] inputData, double[] idealData)
        {
            IEngineData pair = new BasicEngineData(inputData, idealData);

            this.data.Add(pair);
        }