<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def independentlinear60__ffnn():
 """ 4-Layer Neural Network """

    from keras.models import Sequential
    from keras.layers import Dense

    model = Sequential()
    model.add(Dense(32, activation='relu', input_dim=60))
    model.add(Dense(20, activation='relu'))
    model.add(Dense(20, activation='relu'))
    model.add(Dense(1))

    model.compile(optimizer='adam',
                loss='mean_squared_error',
                metrics=['mean_squared_error'])

    return KerasWrap(model, 30, flatten_output=True)