// Start is called before the first frame update
void Start()
{
path = GetComponent <EnemyAI>();
loss = GetComponent <LOSS>();
pos = target.transform.position;
InvokeRepeating("Check", 0, 4f);
}
public void Add(int size, ACTIVATION a, LOSS l, double bias)
{
activation = a;
loss = l;
for (int i = 0; i < size; i++)
{
Neuron n = new Neuron(this.Owner);
n.activation = activation;
n.loss = loss;
n.bias = bias;
n.father = this;
Neurons.Add(n);
}
}
public void LoadFromCode(List <string> code)
{
string s;
string s2;
string tag;
string[] ss;
string[] ss2;
Synapse _synapse;
Neuron _neuron;
Layer _layer;
Dictionary <int, NeuralObject> mapping = new Dictionary <int, NeuralObject>();
int _id = -1;
string _class = "";
ACTIVATION _activation = ACTIVATION.SOFTMAX;
LOSS _loss = LOSS.CROSS_ENTROPY;
int _father = -1;
double _bias = 0.00;
double _weight = 0.00;
double _learnfactor = 0.00;
int _previous = -1;
int _next = -1;
int maxID = -1;
for (int i = 0; i < code.Count; i++)
{
s = code[i].Trim();
ss = s.Split('|');
for (int j = 0; j < ss.Length; j++)
{
s = ss[j].Trim();
ss2 = s.Split(':');
s = ss2[0].Trim();
s2 = ss2[1].Trim();
switch (s)
{
default:
throw new System.Exception("unknow parameter");
case "ID":
if (!int.TryParse(s2, out _id))
{
throw new System.Exception("id not integer");
}
break;
case "Class":
_class = s2;
break;
case "Activation":
if (!Enum.TryParse <ACTIVATION>(s2, out _activation))
{
throw new System.Exception("invalid activation");
}
break;
case "Loss":
if (!Enum.TryParse <LOSS>(s2, out _loss))
{
throw new System.Exception("invalid loss");
}
break;
case "Bias":
if (!double.TryParse(s2, out _bias))
{
throw new System.Exception("bias is not double");
}
break;
case "Father":
if (!int.TryParse(s2, out _father))
{
throw new System.Exception("father not integer");
}
break;
case "Weight":
if (!double.TryParse(s2, out _weight))
{
throw new System.Exception("weight is not double");
}
break;
case "Learn Factor":
if (!double.TryParse(s2, out _learnfactor))
{
throw new System.Exception("learn factor is not double");
}
break;
case "Previous":
if (!int.TryParse(s2, out _previous))
{
throw new System.Exception("previous not integer");
}
break;
case "Next":
if (!int.TryParse(s2, out _next))
{
throw new System.Exception("next not integer");
}
break;
}
}
maxID = maxID < _id ? _id : maxID;
_lastid = _id;
switch (_class)
{
case "NeuralNetwork":
break;
case "Layer":
_layer = new Layer(this);
_layer.activation = _activation;
_layer.loss = _loss;
layers.Add(_layer);
mapping.Add(_id, _layer);
break;
case "Neuron":
_neuron = new Neuron(this);
_neuron.father = (Layer)mapping[_father];
_neuron.bias = _bias;
_neuron.activation = _activation;
_neuron.loss = _loss;
layers.Last().Neurons.Add(_neuron);
mapping.Add(_id, _neuron);
break;
case "Synapse":
_synapse = new Synapse(this);
_synapse.weight = _weight;
_synapse.learnFactor = _learnfactor;
_synapse.previous = (Neuron)mapping[_previous];
_synapse.next = (Neuron)mapping[_next];
layers.Last().Synapses.Add(_synapse);
mapping.Add(_id, _synapse);
break;
default:
break;
}
}
_lastid = maxID + 1;
}
void Start()
{
loss = GetComponent <LOSS>();
col = GetComponent <BoxCollider2D>();
rb = GetComponent <Rigidbody2D>();
}
