1 files changed, 60 insertions, 0 deletions
diff --git a/NNetwork_refCls.r b/NNetwork_refCls.r
new file mode 100644
index 0000000..886cb94
--- /dev/null
+++ b/NNetwork_refCls.r
@@ -0,0 +1,60 @@
+source(paste(getwd(), "Layer_refCls.r", sep = "/"))
+
+attr_list <- list(
+	node_counts = "numeric",
+	l_rate = "numeric",
+	layers = "list"
+)
+
+func_i <- function(node_counts, l_rate, act_func_names) {
+	node_counts <<- node_counts
+	l_rate <<- l_rate
+	layers <<- list()
+	for (i in 1:(length(node_counts) - 1)) {
+		layers <<- c(
+			layers,
+			Layer(
+				node_counts[i + 1],
+				node_counts[i],
+				act_func_names[i + 1]
+			)
+		)
+	}
+}
+
+# forward propagation caller as passable variable
+func_1 <- function(act_in) {
+    act_i <- act_in
+	for (i in 1:length(layers)) {
+		act_i <- layers[[i]]$act_out(act_i)
+	}
+	return(act_i)
+}
+
+# back propagation caller as passable variable
+func_2 <- function(act_in, tar_out) {
+	act_out <- fw_prop(act_in)
+	cost <- sum((act_out - tar_out) ^ 2)
+	dc_da <- 2 * (act_out - tar_out)
+	for (i in length(layers):1) {
+		dc_da <- layers[[i]]$back_prop(dc_da)
+	}
+	return(cost)
+}
+
+# gradient descent as passable variable
+func_3 <- function() {
+	for (i in length(layers):1) {
+		layers[[i]]$grad_desc(l_rate)
+	}
+}
+
+# these are class methods, so not adjustable instance-to-instance
+meth_list <- list(
+	initialize = func_i,
+	fw_prop = func_1,
+	back_prop = func_2,
+	grad_desc = func_3
+)
+
+NNetwork <- setRefClass("NNetwork", fields = attr_list, methods = meth_list)