## mass image

### mass image(id)

Returns the mass of image **id**.
### mass image(id)=m

Assigns this mass.

**Note:**

Image **id** must be of dynamic type and
yes dynamic must be active.
## mass network

### mass(n1,n2) network(id)

Returns the weight of the de connexion between the neurons **n1** et **n2** of the
neuronal network **id**.
### mass(n1,n2) network(id)=p

Assigns this weight.

**Notes:**

1) matrix network(num): defines the matrix of the synatic weights of
all pairs of neurons, the weight of the pair (i,j) is mat[i-1,j-1].

2) generate mass network(num): randomly initializes the weights.
## mass vertex

### mass vertex(s)vol(id)

Returns the mass of vertex number **s** of volume **id**.
### mass vertex(s) vol(id)=m

Assigns this mass.
## mass vol

### mass vol(id)

Returns the mass of volume **id**.
### mass vol(id)=m

Assigns this mass.

**Notes**: To automaticaly generate a dynamic animation, must be:

1) have assigned masses to volumes or to vertices.

2) Have activated the command yes dynamic.

3) You can also give initial velocities to volume or to its
vertices.

4) mass vol(id)=m: ives mass **m** to all the vertices of the volume **id**.

5) Forces must have been defined.