space takes up most of the earth's volume.
space takes up most of the earth's volume.
which layer takes up most of the earth's volume?
space
all space suit designs try to minimize or eliminate this problem. the most common solution is to form the suit out of multiple layers. the bladder layer is a rubbery, airtight layer much like a balloon. the restraint layer goes outside the bladder, and provides a specific shape for the suit. since the bladder layer is larger than the restraint layer, the restraint takes all of the stresses caused by the pressure inside the suit. since the bladder is not under pressure, it will not "pop" like a balloon, even if punctured. the restraint layer is shaped in such a way that bending a joint causes pockets of fabric, called "gores," to open up on the outside of the joint, while folds called "convolutes" fold up on the inside of the joint. the gores make up for the volume lost on the inside of the joint, and keep the suit at a nearly constant volume. however, once the gores are opened all the way, the joint cannot be bent any further without a considerable amount of work.
space suit
it is possibile to identify two parts in the network structure, namely premise and consequence parts. in more details, the architecture is composed by five layers. the first layer takes the input values and determines the membership functions belonging to them. it is commonly called fuzzification layer. the membership degrees of each function are computed by using the premise parameter set, namely {a,b,c}. the second layer is responsible of generating the firing strengths for the rules. due to its task, the second layer is denoted as "rule layer". the role of the third layer is to normalize the computed firing strengths, by diving each value for the total firing strength. the fourth layer takes as input the normalized values and the consequence parameter set {p,q,r}. the values returned by this layer are the defuzzificated ones and those values are passed to the last layer to return the final output.
adaptive neuro fuzzy inference system