Represents a single item in an IActivationFunctionLibrary. The item represents an IActivationFunction and its ID and selection probability within the owning IActivationFunctionLibrary.
 /// <summary>
 /// Construct with a single IActivationFunction.
 /// </summary>
 /// <param name="activationFn"></param>
 public NeatActivationFunctionLibrary(IActivationFunction activationFn)
 {
     _activationFn = activationFn;
     _activationFnInfo = new ActivationFunctionInfo(0, 1.0, activationFn);
     _activationFnInfoList = new List<ActivationFunctionInfo>(1);
     _activationFnInfoList.Add(_activationFnInfo);
 }
Example #2
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        /// <summary>
        /// Normalize the selection probabilities of the provided ActivationFunctionInfo items.
        /// </summary>
        private static void NormalizeSelectionProbabilities(IList <ActivationFunctionInfo> fnList)
        {
            double total = 0.0;
            int    count = fnList.Count;

            for (int i = 0; i < count; i++)
            {
                total += fnList[i].SelectionProbability;
            }
            if (Math.Abs(total - 1.0) < 0.0001)
            {   // Probabilities already normalized to within acceptable limits (from rounding errors).
                return;
            }

            // Normalize the probabilities. Note that ActivationFunctionInfo is immutable therefore
            // we replace the existing items.
            for (int i = 0; i < count; i++)
            {
                ActivationFunctionInfo item = fnList[i];
                fnList[i] = new ActivationFunctionInfo(item.Id, item.SelectionProbability / total, item.ActivationFunction);
            }
        }
Example #3
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        /// <summary>
        /// Reads an IActivationFunctionLibrary from the provided XmlReader.
        /// </summary>
        public static IActivationFunctionLibrary ReadActivationFunctionLibrary(XmlReader xr)
        {
            XmlIoUtils.MoveToElement(xr, false, __ElemActivationFunctions);

            // Create a reader over the sub-tree.
            List <ActivationFunctionInfo> fnList = new List <ActivationFunctionInfo>();

            using (XmlReader xrSubtree = xr.ReadSubtree())
            {
                // Re-scan for the root element.
                XmlIoUtils.MoveToElement(xrSubtree, false);

                // Move to first function elem.
                XmlIoUtils.MoveToElement(xrSubtree, true, __ElemActivationFn);

                // Read function elements.
                do
                {
                    int    id            = XmlIoUtils.ReadAttributeAsInt(xrSubtree, __AttrId);
                    double selectionProb = XmlIoUtils.ReadAttributeAsDouble(xrSubtree, __AttrProbability);
                    string fnName        = xrSubtree.GetAttribute(__AttrName);

                    // Lookup function name.
                    IActivationFunction activationFn = GetActivationFunction(fnName);

                    // Add new function to our list of functions.
                    ActivationFunctionInfo fnInfo = new ActivationFunctionInfo(id, selectionProb, activationFn);
                    fnList.Add(fnInfo);
                }while(xrSubtree.ReadToNextSibling(__ElemActivationFn));
            }

            // If we have read library items then ensure that their selection probabilities are normalized.
            if (fnList.Count != 0)
            {
                NormalizeSelectionProbabilities(fnList);
            }
            return(new DefaultActivationFunctionLibrary(fnList));
        }
Example #4
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        /// <summary>
        /// Normalize the selection probabilities of the provided ActivationFunctionInfo items.
        /// </summary>
        private static void NormalizeSelectionProbabilities(IList<ActivationFunctionInfo> fnList)
        {
            double total = 0.0;
            int count = fnList.Count;
            for(int i=0; i<count; i++) {
                total += fnList[i].SelectionProbability;
            }
            if(Math.Abs(total - 1.0) < 0.0001)
            {   // Probabilities already normalized to within acceptable limits (from rounding errors).
                return;
            }

            // Normalize the probabilities. Note that ActivationFunctionInfo is immutable therefore
            // we replace the existing items.
            for(int i=0; i<count; i++) 
            {
                ActivationFunctionInfo item = fnList[i];
                fnList[i] = new ActivationFunctionInfo(item.Id, item.SelectionProbability/total, item.ActivationFunction);
            }
        }
Example #5
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        /// <summary>
        /// Reads an IActivationFunctionLibrary from the provided XmlReader.
        /// </summary>
        public static IActivationFunctionLibrary ReadActivationFunctionLibrary(XmlReader xr)
        {
            XmlIoUtils.MoveToElement(xr, false, __ElemActivationFunctions);
            
            // Create a reader over the sub-tree.
            List<ActivationFunctionInfo> fnList = new List<ActivationFunctionInfo>();
            using(XmlReader xrSubtree = xr.ReadSubtree())
            {
                // Re-scan for the root element.
                XmlIoUtils.MoveToElement(xrSubtree, false);

                // Move to first function elem.
                XmlIoUtils.MoveToElement(xrSubtree, true, __ElemActivationFn);
                
                // Read function elements.
                do
                {
                    int id = XmlIoUtils.ReadAttributeAsInt(xrSubtree, __AttrId);
                    double selectionProb = XmlIoUtils.ReadAttributeAsDouble(xrSubtree, __AttrProbability);
                    string fnName = xrSubtree.GetAttribute(__AttrName);

                    // Lookup function name.
                    IActivationFunction activationFn = GetActivationFunction(fnName);

                    // Add new function to our list of functions.
                    ActivationFunctionInfo fnInfo = new ActivationFunctionInfo(id, selectionProb, activationFn);
                    fnList.Add(fnInfo);
                }
                while(xrSubtree.ReadToNextSibling(__ElemActivationFn));
            }

            // If we have read library items then ensure that their selection probabilities are normalized.
            if(fnList.Count != 0) {
                NormalizeSelectionProbabilities(fnList);
            }            
            return new DefaultActivationFunctionLibrary(fnList);
        }